Overview

Dataset statistics

Number of variables366
Number of observations891221
Missing cells33493669
Missing cells (%)10.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 GiB
Average record size in memory3.1 KiB

Variable types

NUM331
CAT29
BOOL6

Warnings

EINGEFUEGT_AM has a high cardinality: 5162 distinct values High cardinality
AKT_DAT_KL has 73499 (8.2%) missing values Missing
ALTER_HH has 73499 (8.2%) missing values Missing
ALTER_KIND1 has 810163 (90.9%) missing values Missing
ALTER_KIND2 has 861722 (96.7%) missing values Missing
ALTER_KIND3 has 885051 (99.3%) missing values Missing
ALTER_KIND4 has 890016 (99.9%) missing values Missing
ALTERSKATEGORIE_FEIN has 262947 (29.5%) missing values Missing
ANZ_HAUSHALTE_AKTIV has 93148 (10.5%) missing values Missing
ANZ_HH_TITEL has 97008 (10.9%) missing values Missing
ANZ_KINDER has 73499 (8.2%) missing values Missing
ANZ_PERSONEN has 73499 (8.2%) missing values Missing
ANZ_STATISTISCHE_HAUSHALTE has 93148 (10.5%) missing values Missing
ANZ_TITEL has 73499 (8.2%) missing values Missing
ARBEIT has 97216 (10.9%) missing values Missing
BALLRAUM has 93740 (10.5%) missing values Missing
CAMEO_DEU_2015 has 98979 (11.1%) missing values Missing
CAMEO_DEUG_2015 has 99352 (11.1%) missing values Missing
CAMEO_INTL_2015 has 99352 (11.1%) missing values Missing
D19_BANKEN_ONLINE_QUOTE_12 has 257113 (28.8%) missing values Missing
D19_GESAMT_ONLINE_QUOTE_12 has 257113 (28.8%) missing values Missing
D19_KONSUMTYP has 257113 (28.8%) missing values Missing
D19_LETZTER_KAUF_BRANCHE has 257113 (28.8%) missing values Missing
D19_LOTTO has 257113 (28.8%) missing values Missing
D19_SOZIALES has 257113 (28.8%) missing values Missing
D19_TELKO_ONLINE_QUOTE_12 has 257113 (28.8%) missing values Missing
D19_VERSAND_ONLINE_QUOTE_12 has 257113 (28.8%) missing values Missing
D19_VERSI_ONLINE_QUOTE_12 has 257113 (28.8%) missing values Missing
DSL_FLAG has 93148 (10.5%) missing values Missing
EINGEFUEGT_AM has 93148 (10.5%) missing values Missing
EINGEZOGENAM_HH_JAHR has 73499 (8.2%) missing values Missing
EWDICHTE has 93740 (10.5%) missing values Missing
EXTSEL992 has 654153 (73.4%) missing values Missing
FIRMENDICHTE has 93155 (10.5%) missing values Missing
GEBAEUDETYP has 93148 (10.5%) missing values Missing
GEBAEUDETYP_RASTER has 93155 (10.5%) missing values Missing
GEMEINDETYP has 97274 (10.9%) missing values Missing
HH_DELTA_FLAG has 107602 (12.1%) missing values Missing
HH_EINKOMMEN_SCORE has 18348 (2.1%) missing values Missing
INNENSTADT has 93740 (10.5%) missing values Missing
KBA05_ALTER1 has 133324 (15.0%) missing values Missing
KBA05_ALTER2 has 133324 (15.0%) missing values Missing
KBA05_ALTER3 has 133324 (15.0%) missing values Missing
KBA05_ALTER4 has 133324 (15.0%) missing values Missing
KBA05_ANHANG has 133324 (15.0%) missing values Missing
KBA05_ANTG1 has 133324 (15.0%) missing values Missing
KBA05_ANTG2 has 133324 (15.0%) missing values Missing
KBA05_ANTG3 has 133324 (15.0%) missing values Missing
KBA05_ANTG4 has 133324 (15.0%) missing values Missing
KBA05_AUTOQUOT has 133324 (15.0%) missing values Missing
KBA05_BAUMAX has 133324 (15.0%) missing values Missing
KBA05_CCM1 has 133324 (15.0%) missing values Missing
KBA05_CCM2 has 133324 (15.0%) missing values Missing
KBA05_CCM3 has 133324 (15.0%) missing values Missing
KBA05_CCM4 has 133324 (15.0%) missing values Missing
KBA05_DIESEL has 133324 (15.0%) missing values Missing
KBA05_FRAU has 133324 (15.0%) missing values Missing
KBA05_GBZ has 133324 (15.0%) missing values Missing
KBA05_HERST1 has 133324 (15.0%) missing values Missing
KBA05_HERST2 has 133324 (15.0%) missing values Missing
KBA05_HERST3 has 133324 (15.0%) missing values Missing
KBA05_HERST4 has 133324 (15.0%) missing values Missing
KBA05_HERST5 has 133324 (15.0%) missing values Missing
KBA05_HERSTTEMP has 93148 (10.5%) missing values Missing
KBA05_KRSAQUOT has 133324 (15.0%) missing values Missing
KBA05_KRSHERST1 has 133324 (15.0%) missing values Missing
KBA05_KRSHERST2 has 133324 (15.0%) missing values Missing
KBA05_KRSHERST3 has 133324 (15.0%) missing values Missing
KBA05_KRSKLEIN has 133324 (15.0%) missing values Missing
KBA05_KRSOBER has 133324 (15.0%) missing values Missing
KBA05_KRSVAN has 133324 (15.0%) missing values Missing
KBA05_KRSZUL has 133324 (15.0%) missing values Missing
KBA05_KW1 has 133324 (15.0%) missing values Missing
KBA05_KW2 has 133324 (15.0%) missing values Missing
KBA05_KW3 has 133324 (15.0%) missing values Missing
KBA05_MAXAH has 133324 (15.0%) missing values Missing
KBA05_MAXBJ has 133324 (15.0%) missing values Missing
KBA05_MAXHERST has 133324 (15.0%) missing values Missing
KBA05_MAXSEG has 133324 (15.0%) missing values Missing
KBA05_MAXVORB has 133324 (15.0%) missing values Missing
KBA05_MOD1 has 133324 (15.0%) missing values Missing
KBA05_MOD2 has 133324 (15.0%) missing values Missing
KBA05_MOD3 has 133324 (15.0%) missing values Missing
KBA05_MOD4 has 133324 (15.0%) missing values Missing
KBA05_MOD8 has 133324 (15.0%) missing values Missing
KBA05_MODTEMP has 93148 (10.5%) missing values Missing
KBA05_MOTOR has 133324 (15.0%) missing values Missing
KBA05_MOTRAD has 133324 (15.0%) missing values Missing
KBA05_SEG1 has 133324 (15.0%) missing values Missing
KBA05_SEG10 has 133324 (15.0%) missing values Missing
KBA05_SEG2 has 133324 (15.0%) missing values Missing
KBA05_SEG3 has 133324 (15.0%) missing values Missing
KBA05_SEG4 has 133324 (15.0%) missing values Missing
KBA05_SEG5 has 133324 (15.0%) missing values Missing
KBA05_SEG6 has 133324 (15.0%) missing values Missing
KBA05_SEG7 has 133324 (15.0%) missing values Missing
KBA05_SEG8 has 133324 (15.0%) missing values Missing
KBA05_SEG9 has 133324 (15.0%) missing values Missing
KBA05_VORB0 has 133324 (15.0%) missing values Missing
KBA05_VORB1 has 133324 (15.0%) missing values Missing
KBA05_VORB2 has 133324 (15.0%) missing values Missing
KBA05_ZUL1 has 133324 (15.0%) missing values Missing
KBA05_ZUL2 has 133324 (15.0%) missing values Missing
KBA05_ZUL3 has 133324 (15.0%) missing values Missing
KBA05_ZUL4 has 133324 (15.0%) missing values Missing
KBA13_ALTERHALTER_30 has 105800 (11.9%) missing values Missing
KBA13_ALTERHALTER_45 has 105800 (11.9%) missing values Missing
KBA13_ALTERHALTER_60 has 105800 (11.9%) missing values Missing
KBA13_ALTERHALTER_61 has 105800 (11.9%) missing values Missing
KBA13_ANTG1 has 105800 (11.9%) missing values Missing
KBA13_ANTG2 has 105800 (11.9%) missing values Missing
KBA13_ANTG3 has 105800 (11.9%) missing values Missing
KBA13_ANTG4 has 105800 (11.9%) missing values Missing
KBA13_ANZAHL_PKW has 105800 (11.9%) missing values Missing
KBA13_AUDI has 105800 (11.9%) missing values Missing
KBA13_AUTOQUOTE has 105800 (11.9%) missing values Missing
KBA13_BAUMAX has 105800 (11.9%) missing values Missing
KBA13_BJ_1999 has 105800 (11.9%) missing values Missing
KBA13_BJ_2000 has 105800 (11.9%) missing values Missing
KBA13_BJ_2004 has 105800 (11.9%) missing values Missing
KBA13_BJ_2006 has 105800 (11.9%) missing values Missing
KBA13_BJ_2008 has 105800 (11.9%) missing values Missing
KBA13_BJ_2009 has 105800 (11.9%) missing values Missing
KBA13_BMW has 105800 (11.9%) missing values Missing
KBA13_CCM_0_1400 has 105800 (11.9%) missing values Missing
KBA13_CCM_1000 has 105800 (11.9%) missing values Missing
KBA13_CCM_1200 has 105800 (11.9%) missing values Missing
KBA13_CCM_1400 has 105800 (11.9%) missing values Missing
KBA13_CCM_1401_2500 has 105800 (11.9%) missing values Missing
KBA13_CCM_1500 has 105800 (11.9%) missing values Missing
KBA13_CCM_1600 has 105800 (11.9%) missing values Missing
KBA13_CCM_1800 has 105800 (11.9%) missing values Missing
KBA13_CCM_2000 has 105800 (11.9%) missing values Missing
KBA13_CCM_2500 has 105800 (11.9%) missing values Missing
KBA13_CCM_2501 has 105800 (11.9%) missing values Missing
KBA13_CCM_3000 has 105800 (11.9%) missing values Missing
KBA13_CCM_3001 has 105800 (11.9%) missing values Missing
KBA13_FAB_ASIEN has 105800 (11.9%) missing values Missing
KBA13_FAB_SONSTIGE has 105800 (11.9%) missing values Missing
KBA13_FIAT has 105800 (11.9%) missing values Missing
KBA13_FORD has 105800 (11.9%) missing values Missing
KBA13_GBZ has 105800 (11.9%) missing values Missing
KBA13_HALTER_20 has 105800 (11.9%) missing values Missing
KBA13_HALTER_25 has 105800 (11.9%) missing values Missing
KBA13_HALTER_30 has 105800 (11.9%) missing values Missing
KBA13_HALTER_35 has 105800 (11.9%) missing values Missing
KBA13_HALTER_40 has 105800 (11.9%) missing values Missing
KBA13_HALTER_45 has 105800 (11.9%) missing values Missing
KBA13_HALTER_50 has 105800 (11.9%) missing values Missing
KBA13_HALTER_55 has 105800 (11.9%) missing values Missing
KBA13_HALTER_60 has 105800 (11.9%) missing values Missing
KBA13_HALTER_65 has 105800 (11.9%) missing values Missing
KBA13_HALTER_66 has 105800 (11.9%) missing values Missing
KBA13_HERST_ASIEN has 105800 (11.9%) missing values Missing
KBA13_HERST_AUDI_VW has 105800 (11.9%) missing values Missing
KBA13_HERST_BMW_BENZ has 105800 (11.9%) missing values Missing
KBA13_HERST_EUROPA has 105800 (11.9%) missing values Missing
KBA13_HERST_FORD_OPEL has 105800 (11.9%) missing values Missing
KBA13_HERST_SONST has 105800 (11.9%) missing values Missing
KBA13_HHZ has 105800 (11.9%) missing values Missing
KBA13_KMH_0_140 has 105800 (11.9%) missing values Missing
KBA13_KMH_110 has 105800 (11.9%) missing values Missing
KBA13_KMH_140 has 105800 (11.9%) missing values Missing
KBA13_KMH_140_210 has 105800 (11.9%) missing values Missing
KBA13_KMH_180 has 105800 (11.9%) missing values Missing
KBA13_KMH_210 has 105800 (11.9%) missing values Missing
KBA13_KMH_211 has 105800 (11.9%) missing values Missing
KBA13_KMH_250 has 105800 (11.9%) missing values Missing
KBA13_KMH_251 has 105800 (11.9%) missing values Missing
KBA13_KRSAQUOT has 105800 (11.9%) missing values Missing
KBA13_KRSHERST_AUDI_VW has 105800 (11.9%) missing values Missing
KBA13_KRSHERST_BMW_BENZ has 105800 (11.9%) missing values Missing
KBA13_KRSHERST_FORD_OPEL has 105800 (11.9%) missing values Missing
KBA13_KRSSEG_KLEIN has 105800 (11.9%) missing values Missing
KBA13_KRSSEG_OBER has 105800 (11.9%) missing values Missing
KBA13_KRSSEG_VAN has 105800 (11.9%) missing values Missing
KBA13_KRSZUL_NEU has 105800 (11.9%) missing values Missing
KBA13_KW_0_60 has 105800 (11.9%) missing values Missing
KBA13_KW_110 has 105800 (11.9%) missing values Missing
KBA13_KW_120 has 105800 (11.9%) missing values Missing
KBA13_KW_121 has 105800 (11.9%) missing values Missing
KBA13_KW_30 has 105800 (11.9%) missing values Missing
KBA13_KW_40 has 105800 (11.9%) missing values Missing
KBA13_KW_50 has 105800 (11.9%) missing values Missing
KBA13_KW_60 has 105800 (11.9%) missing values Missing
KBA13_KW_61_120 has 105800 (11.9%) missing values Missing
KBA13_KW_70 has 105800 (11.9%) missing values Missing
KBA13_KW_80 has 105800 (11.9%) missing values Missing
KBA13_KW_90 has 105800 (11.9%) missing values Missing
KBA13_MAZDA has 105800 (11.9%) missing values Missing
KBA13_MERCEDES has 105800 (11.9%) missing values Missing
KBA13_MOTOR has 105800 (11.9%) missing values Missing
KBA13_NISSAN has 105800 (11.9%) missing values Missing
KBA13_OPEL has 105800 (11.9%) missing values Missing
KBA13_PEUGEOT has 105800 (11.9%) missing values Missing
KBA13_RENAULT has 105800 (11.9%) missing values Missing
KBA13_SEG_GELAENDEWAGEN has 105800 (11.9%) missing values Missing
KBA13_SEG_GROSSRAUMVANS has 105800 (11.9%) missing values Missing
KBA13_SEG_KLEINST has 105800 (11.9%) missing values Missing
KBA13_SEG_KLEINWAGEN has 105800 (11.9%) missing values Missing
KBA13_SEG_KOMPAKTKLASSE has 105800 (11.9%) missing values Missing
KBA13_SEG_MINIVANS has 105800 (11.9%) missing values Missing
KBA13_SEG_MINIWAGEN has 105800 (11.9%) missing values Missing
KBA13_SEG_MITTELKLASSE has 105800 (11.9%) missing values Missing
KBA13_SEG_OBEREMITTELKLASSE has 105800 (11.9%) missing values Missing
KBA13_SEG_OBERKLASSE has 105800 (11.9%) missing values Missing
KBA13_SEG_SONSTIGE has 105800 (11.9%) missing values Missing
KBA13_SEG_SPORTWAGEN has 105800 (11.9%) missing values Missing
KBA13_SEG_UTILITIES has 105800 (11.9%) missing values Missing
KBA13_SEG_VAN has 105800 (11.9%) missing values Missing
KBA13_SEG_WOHNMOBILE has 105800 (11.9%) missing values Missing
KBA13_SITZE_4 has 105800 (11.9%) missing values Missing
KBA13_SITZE_5 has 105800 (11.9%) missing values Missing
KBA13_SITZE_6 has 105800 (11.9%) missing values Missing
KBA13_TOYOTA has 105800 (11.9%) missing values Missing
KBA13_VORB_0 has 105800 (11.9%) missing values Missing
KBA13_VORB_1 has 105800 (11.9%) missing values Missing
KBA13_VORB_1_2 has 105800 (11.9%) missing values Missing
KBA13_VORB_2 has 105800 (11.9%) missing values Missing
KBA13_VORB_3 has 105800 (11.9%) missing values Missing
KBA13_VW has 105800 (11.9%) missing values Missing
KK_KUNDENTYP has 584612 (65.6%) missing values Missing
KKK has 121196 (13.6%) missing values Missing
KONSUMNAEHE has 73969 (8.3%) missing values Missing
KONSUMZELLE has 93155 (10.5%) missing values Missing
MIN_GEBAEUDEJAHR has 93148 (10.5%) missing values Missing
MOBI_RASTER has 93148 (10.5%) missing values Missing
MOBI_REGIO has 133324 (15.0%) missing values Missing
ORTSGR_KLS9 has 97216 (10.9%) missing values Missing
OST_WEST_KZ has 93148 (10.5%) missing values Missing
PLZ8_ANTG1 has 116515 (13.1%) missing values Missing
PLZ8_ANTG2 has 116515 (13.1%) missing values Missing
PLZ8_ANTG3 has 116515 (13.1%) missing values Missing
PLZ8_ANTG4 has 116515 (13.1%) missing values Missing
PLZ8_BAUMAX has 116515 (13.1%) missing values Missing
PLZ8_GBZ has 116515 (13.1%) missing values Missing
PLZ8_HHZ has 116515 (13.1%) missing values Missing
REGIOTYP has 121196 (13.6%) missing values Missing
RELAT_AB has 97216 (10.9%) missing values Missing
RT_UEBERGROESSE has 51226 (5.7%) missing values Missing
SOHO_KZ has 73499 (8.2%) missing values Missing
STRUKTURTYP has 97274 (10.9%) missing values Missing
TITEL_KZ has 73499 (8.2%) missing values Missing
UMFELD_ALT has 97786 (11.0%) missing values Missing
UMFELD_JUNG has 97786 (11.0%) missing values Missing
UNGLEICHENN_FLAG has 73499 (8.2%) missing values Missing
VERDICHTUNGSRAUM has 97274 (10.9%) missing values Missing
VHA has 73499 (8.2%) missing values Missing
VHN has 121196 (13.6%) missing values Missing
VK_DHT4A has 75917 (8.5%) missing values Missing
VK_DISTANZ has 75917 (8.5%) missing values Missing
VK_ZG11 has 75917 (8.5%) missing values Missing
W_KEIT_KIND_HH has 107602 (12.1%) missing values Missing
WOHNDAUER_2008 has 73499 (8.2%) missing values Missing
WOHNLAGE has 93148 (10.5%) missing values Missing
ANZ_HH_TITEL is highly skewed (γ1 = 22.71869357) Skewed
D19_TELKO_ONLINE_QUOTE_12 is highly skewed (γ1 = 28.50527578) Skewed
TITEL_KZ is highly skewed (γ1 = 39.64777145) Skewed
LNR has unique values Unique
ALTER_HH has 236768 (26.6%) zeros Zeros
ALTERSKATEGORIE_FEIN has 41188 (4.6%) zeros Zeros
ANZ_HH_TITEL has 770244 (86.4%) zeros Zeros
ANZ_KINDER has 731242 (82.0%) zeros Zeros
ANZ_PERSONEN has 34103 (3.8%) zeros Zeros
ANZ_TITEL has 814542 (91.4%) zeros Zeros
D19_BANKEN_ANZ_12 has 831734 (93.3%) zeros Zeros
D19_BANKEN_ANZ_24 has 794100 (89.1%) zeros Zeros
D19_BANKEN_DIREKT has 728811 (81.8%) zeros Zeros
D19_BANKEN_GROSS has 785351 (88.1%) zeros Zeros
D19_BANKEN_LOKAL has 874745 (98.2%) zeros Zeros
D19_BANKEN_ONLINE_QUOTE_12 has 588874 (66.1%) zeros Zeros
D19_BANKEN_REST has 821760 (92.2%) zeros Zeros
D19_BEKLEIDUNG_GEH has 809304 (90.8%) zeros Zeros
D19_BEKLEIDUNG_REST has 692502 (77.7%) zeros Zeros
D19_BILDUNG has 813156 (91.2%) zeros Zeros
D19_BIO_OEKO has 854074 (95.8%) zeros Zeros
D19_BUCH_CD has 622788 (69.9%) zeros Zeros
D19_DIGIT_SERV has 857661 (96.2%) zeros Zeros
D19_DROGERIEARTIKEL has 761014 (85.4%) zeros Zeros
D19_ENERGIE has 829857 (93.1%) zeros Zeros
D19_FREIZEIT has 790748 (88.7%) zeros Zeros
D19_GARTEN has 851626 (95.6%) zeros Zeros
D19_GESAMT_ANZ_12 has 584797 (65.6%) zeros Zeros
D19_GESAMT_ANZ_24 has 505303 (56.7%) zeros Zeros
D19_GESAMT_ONLINE_QUOTE_12 has 393075 (44.1%) zeros Zeros
D19_HANDWERK has 768381 (86.2%) zeros Zeros
D19_HAUS_DEKO has 713100 (80.0%) zeros Zeros
D19_KINDERARTIKEL has 749365 (84.1%) zeros Zeros
D19_KOSMETIK has 745836 (83.7%) zeros Zeros
D19_LEBENSMITTEL has 837914 (94.0%) zeros Zeros
D19_LOTTO has 490843 (55.1%) zeros Zeros
D19_NAHRUNGSERGAENZUNG has 852176 (95.6%) zeros Zeros
D19_RATGEBER has 805071 (90.3%) zeros Zeros
D19_REISEN has 736924 (82.7%) zeros Zeros
D19_SAMMELARTIKEL has 802085 (90.0%) zeros Zeros
D19_SCHUHE has 773024 (86.7%) zeros Zeros
D19_SONSTIGE has 505953 (56.8%) zeros Zeros
D19_SOZIALES has 505828 (56.8%) zeros Zeros
D19_TECHNIK has 630101 (70.7%) zeros Zeros
D19_TELKO_ANZ_12 has 857990 (96.3%) zeros Zeros
D19_TELKO_ANZ_24 has 826208 (92.7%) zeros Zeros
D19_TELKO_MOBILE has 726804 (81.6%) zeros Zeros
D19_TELKO_ONLINE_QUOTE_12 has 633320 (71.1%) zeros Zeros
D19_TELKO_REST has 765973 (85.9%) zeros Zeros
D19_TIERARTIKEL has 852220 (95.6%) zeros Zeros
D19_VERSAND_ANZ_12 has 637972 (71.6%) zeros Zeros
D19_VERSAND_ANZ_24 has 563818 (63.3%) zeros Zeros
D19_VERSAND_ONLINE_QUOTE_12 has 417367 (46.8%) zeros Zeros
D19_VERSAND_REST has 734442 (82.4%) zeros Zeros
D19_VERSI_ANZ_12 has 821289 (92.2%) zeros Zeros
D19_VERSI_ANZ_24 has 777037 (87.2%) zeros Zeros
D19_VERSI_ONLINE_QUOTE_12 has 632462 (71.0%) zeros Zeros
D19_VERSICHERUNGEN has 654664 (73.5%) zeros Zeros
D19_VOLLSORTIMENT has 600002 (67.3%) zeros Zeros
D19_WEIN_FEINKOST has 836142 (93.8%) zeros Zeros
GEBURTSJAHR has 392318 (44.0%) zeros Zeros
KBA05_ALTER1 has 102789 (11.5%) zeros Zeros
KBA05_ALTER4 has 50127 (5.6%) zeros Zeros
KBA05_ANHANG has 266145 (29.9%) zeros Zeros
KBA05_ANTG1 has 261049 (29.3%) zeros Zeros
KBA05_ANTG2 has 292538 (32.8%) zeros Zeros
KBA05_BAUMAX has 343200 (38.5%) zeros Zeros
KBA05_CCM4 has 274064 (30.8%) zeros Zeros
KBA05_DIESEL has 64600 (7.2%) zeros Zeros
KBA05_HERST1 has 75567 (8.5%) zeros Zeros
KBA05_HERST3 has 16789 (1.9%) zeros Zeros
KBA05_HERST4 has 30739 (3.4%) zeros Zeros
KBA05_HERST5 has 47295 (5.3%) zeros Zeros
KBA05_KW3 has 206843 (23.2%) zeros Zeros
KBA05_MOD1 has 286087 (32.1%) zeros Zeros
KBA05_MOD4 has 50590 (5.7%) zeros Zeros
KBA05_MOD8 has 221889 (24.9%) zeros Zeros
KBA05_MOTRAD has 204268 (22.9%) zeros Zeros
KBA05_SEG1 has 246416 (27.6%) zeros Zeros
KBA05_SEG10 has 111769 (12.5%) zeros Zeros
KBA05_SEG5 has 182816 (20.5%) zeros Zeros
KBA05_SEG7 has 368086 (41.3%) zeros Zeros
KBA05_SEG8 has 403849 (45.3%) zeros Zeros
KBA05_SEG9 has 257693 (28.9%) zeros Zeros
KBA05_VORB2 has 54357 (6.1%) zeros Zeros
KBA05_ZUL3 has 71287 (8.0%) zeros Zeros
KBA05_ZUL4 has 105584 (11.8%) zeros Zeros
KBA13_ANTG2 has 10772 (1.2%) zeros Zeros
KBA13_BJ_2008 has 134372 (15.1%) zeros Zeros
KBA13_BJ_2009 has 101115 (11.3%) zeros Zeros
KBA13_CCM_0_1400 has 138711 (15.6%) zeros Zeros
KBA13_CCM_1000 has 103227 (11.6%) zeros Zeros
KBA13_CCM_1200 has 145802 (16.4%) zeros Zeros
KBA13_CCM_1800 has 137534 (15.4%) zeros Zeros
KBA13_CCM_2500 has 95350 (10.7%) zeros Zeros
KBA13_CCM_2501 has 93403 (10.5%) zeros Zeros
KBA13_CCM_3000 has 56562 (6.3%) zeros Zeros
KBA13_KMH_0_140 has 96010 (10.8%) zeros Zeros
KBA13_KMH_211 has 139463 (15.6%) zeros Zeros
KBA13_KMH_250 has 139756 (15.7%) zeros Zeros
KBA13_KW_110 has 124216 (13.9%) zeros Zeros
KBA13_KW_120 has 85028 (9.5%) zeros Zeros
KBA13_KW_121 has 95195 (10.7%) zeros Zeros
KBA13_KW_40 has 99260 (11.1%) zeros Zeros
KBA13_KW_50 has 143215 (16.1%) zeros Zeros
KBA13_KW_60 has 132144 (14.8%) zeros Zeros
KBA13_KW_70 has 141548 (15.9%) zeros Zeros
KBA13_KW_80 has 129268 (14.5%) zeros Zeros
KBA13_KW_90 has 133326 (15.0%) zeros Zeros
KBA13_SEG_OBERKLASSE has 86270 (9.7%) zeros Zeros
KBA13_SEG_SPORTWAGEN has 83421 (9.4%) zeros Zeros
KBA13_SEG_WOHNMOBILE has 85796 (9.6%) zeros Zeros
KBA13_VORB_3 has 143284 (16.1%) zeros Zeros
KKK has 36868 (4.1%) zeros Zeros
LP_FAMILIE_FEIN has 72938 (8.2%) zeros Zeros
LP_FAMILIE_GROB has 72938 (8.2%) zeros Zeros
LP_LEBENSPHASE_FEIN has 92778 (10.4%) zeros Zeros
LP_LEBENSPHASE_GROB has 89718 (10.1%) zeros Zeros
ONLINE_AFFINITAET has 65716 (7.4%) zeros Zeros
PRAEGENDE_JUGENDJAHRE has 108164 (12.1%) zeros Zeros
REGIOTYP has 36868 (4.1%) zeros Zeros
RT_UEBERGROESSE has 24758 (2.8%) zeros Zeros
SHOPPER_TYP has 127582 (14.3%) zeros Zeros
TITEL_KZ has 815562 (91.5%) zeros Zeros
VERDICHTUNGSRAUM has 368782 (41.4%) zeros Zeros
VHA has 665547 (74.7%) zeros Zeros
VHN has 36868 (4.1%) zeros Zeros
W_KEIT_KIND_HH has 40386 (4.5%) zeros Zeros

Reproduction

Analysis started2020-11-30 14:52:23.579364
Analysis finished2020-11-30 14:53:40.598253
Duration1 minute and 17.02 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

LNR
Real number (ℝ≥0)

UNIQUE

Distinct891221
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean637263
Minimum191653
Maximum1082873
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:41.298970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum191653
5-th percentile236214
Q1414458
median637263
Q3860068
95-th percentile1038312
Maximum1082873
Range891220
Interquartile range (IQR)445610

Descriptive statistics

Standard deviation257273.4865
Coefficient of variation (CV)0.4037163408
Kurtosis-1.2
Mean637263
Median Absolute Deviation (MAD)222805
Skewness-1.551882184e-18
Sum5.679421681e+11
Variance6.618964684e+10
MonotocityNot monotonic
2020-11-30T23:53:41.482488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1924181< 0.1%
 
6114551< 0.1%
 
9821541< 0.1%
 
9760091< 0.1%
 
9780561< 0.1%
 
9555271< 0.1%
 
9575741< 0.1%
 
9514291< 0.1%
 
9534761< 0.1%
 
9637151< 0.1%
 
9657621< 0.1%
 
9596171< 0.1%
 
9616641< 0.1%
 
6135021< 0.1%
 
10210951< 0.1%
 
6073571< 0.1%
 
6094041< 0.1%
 
6196431< 0.1%
 
6216901< 0.1%
 
6155451< 0.1%
 
6175921< 0.1%
 
5950631< 0.1%
 
5971101< 0.1%
 
5909651< 0.1%
 
5930121< 0.1%
 
Other values (891196)891196> 99.9%
 
ValueCountFrequency (%) 
1916531< 0.1%
 
1916541< 0.1%
 
1916551< 0.1%
 
1916561< 0.1%
 
1916571< 0.1%
 
1916581< 0.1%
 
1916591< 0.1%
 
1916601< 0.1%
 
1916611< 0.1%
 
1916621< 0.1%
 
ValueCountFrequency (%) 
10828731< 0.1%
 
10828721< 0.1%
 
10828711< 0.1%
 
10828701< 0.1%
 
10828691< 0.1%
 
10828681< 0.1%
 
10828671< 0.1%
 
10828661< 0.1%
 
10828651< 0.1%
 
10828641< 0.1%
 

AGER_TYP
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3584352254
Minimum-1
Maximum3
Zeros8340
Zeros (%)0.9%
Memory size6.8 MiB
2020-11-30T23:53:41.614943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile2
Maximum3
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.19872385
Coefficient of variation (CV)-3.344324903
Kurtosis0.7394936621
Mean-0.3584352254
Median Absolute Deviation (MAD)0
Skewness1.524308389
Sum-319445
Variance1.43693887
MonotocityNot monotonic
2020-11-30T23:53:41.736360image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
-167750376.0%
 
29847211.0%
 
1798029.0%
 
3271043.0%
 
083400.9%
 
ValueCountFrequency (%) 
-167750376.0%
 
083400.9%
 
1798029.0%
 
29847211.0%
 
3271043.0%
 
ValueCountFrequency (%) 
3271043.0%
 
29847211.0%
 
1798029.0%
 
083400.9%
 
-167750376.0%
 

AKT_DAT_KL
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean4.421928235
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:41.861280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.638805141
Coefficient of variation (CV)0.8229000896
Kurtosis-1.765419122
Mean4.421928235
Median Absolute Deviation (MAD)2
Skewness0.2873452378
Sum3615908
Variance13.24090285
MonotocityNot monotonic
2020-11-30T23:53:41.962494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
139025843.8%
 
927066330.4%
 
5292033.3%
 
6276553.1%
 
3248802.8%
 
4214662.4%
 
7210262.4%
 
8174852.0%
 
2150861.7%
 
(Missing)734998.2%
 
ValueCountFrequency (%) 
139025843.8%
 
2150861.7%
 
3248802.8%
 
4214662.4%
 
5292033.3%
 
6276553.1%
 
7210262.4%
 
8174852.0%
 
927066330.4%
 
ValueCountFrequency (%) 
927066330.4%
 
8174852.0%
 
7210262.4%
 
6276553.1%
 
5292033.3%
 
4214662.4%
 
3248802.8%
 
2150861.7%
 
139025843.8%
 

ALTER_HH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct22
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean10.86412619
Minimum0
Maximum21
Zeros236768
Zeros (%)26.6%
Memory size6.8 MiB
2020-11-30T23:53:42.071588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13
Q317
95-th percentile21
Maximum21
Range21
Interquartile range (IQR)17

Descriptive statistics

Standard deviation7.639683284
Coefficient of variation (CV)0.7032027378
Kurtosis-1.364928569
Mean10.86412619
Median Absolute Deviation (MAD)5
Skewness-0.4258583512
Sum8883835
Variance58.36476068
MonotocityNot monotonic
2020-11-30T23:53:42.596756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
023676826.6%
 
18608526.8%
 
17556656.2%
 
19528905.9%
 
15518675.8%
 
16518575.8%
 
14442755.0%
 
21416104.7%
 
20406714.6%
 
13376124.2%
 
12349233.9%
 
10304193.4%
 
11279243.1%
 
9228172.6%
 
8134631.5%
 
784190.9%
 
638090.4%
 
510300.1%
 
46030.1%
 
3200< 0.1%
 
247< 0.1%
 
11< 0.1%
 
(Missing)734998.2%
 
ValueCountFrequency (%) 
023676826.6%
 
11< 0.1%
 
247< 0.1%
 
3200< 0.1%
 
46030.1%
 
510300.1%
 
638090.4%
 
784190.9%
 
8134631.5%
 
9228172.6%
 
ValueCountFrequency (%) 
21416104.7%
 
20406714.6%
 
19528905.9%
 
18608526.8%
 
17556656.2%
 
16518575.8%
 
15518675.8%
 
14442755.0%
 
13376124.2%
 
12349233.9%
 

ALTER_KIND1
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)< 0.1%
Missing810163
Missing (%)90.9%
Infinite0
Infinite (%)0.0%
Mean11.74539219
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:42.683389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q18
median12
Q315
95-th percentile18
Maximum18
Range16
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.097660168
Coefficient of variation (CV)0.3488738479
Kurtosis-1.03258355
Mean11.74539219
Median Absolute Deviation (MAD)4
Skewness-0.1435969542
Sum952058
Variance16.79081886
MonotocityNot monotonic
2020-11-30T23:53:42.783176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
1867030.8%
 
1763940.7%
 
863430.7%
 
762490.7%
 
1661240.7%
 
1560080.7%
 
1459920.7%
 
958460.7%
 
1357130.6%
 
1056780.6%
 
1255760.6%
 
1155060.6%
 
648750.5%
 
515010.2%
 
410840.1%
 
310630.1%
 
2403< 0.1%
 
(Missing)81016390.9%
 
ValueCountFrequency (%) 
2403< 0.1%
 
310630.1%
 
410840.1%
 
515010.2%
 
648750.5%
 
762490.7%
 
863430.7%
 
958460.7%
 
1056780.6%
 
1155060.6%
 
ValueCountFrequency (%) 
1867030.8%
 
1763940.7%
 
1661240.7%
 
1560080.7%
 
1459920.7%
 
1357130.6%
 
1255760.6%
 
1155060.6%
 
1056780.6%
 
958460.7%
 

ALTER_KIND2
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.1%
Missing861722
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean13.40265772
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:42.882898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q111
median14
Q316
95-th percentile18
Maximum18
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.243299584
Coefficient of variation (CV)0.2419892869
Kurtosis-0.6028118253
Mean13.40265772
Median Absolute Deviation (MAD)2
Skewness-0.4232316077
Sum395365
Variance10.51899219
MonotocityNot monotonic
2020-11-30T23:53:42.982599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
1831280.4%
 
1431110.3%
 
1730850.3%
 
1530830.3%
 
1630100.3%
 
1329680.3%
 
1226280.3%
 
1124500.3%
 
1019530.2%
 
916410.2%
 
811790.1%
 
76270.1%
 
6396< 0.1%
 
5154< 0.1%
 
467< 0.1%
 
315< 0.1%
 
24< 0.1%
 
(Missing)86172296.7%
 
ValueCountFrequency (%) 
24< 0.1%
 
315< 0.1%
 
467< 0.1%
 
5154< 0.1%
 
6396< 0.1%
 
76270.1%
 
811790.1%
 
916410.2%
 
1019530.2%
 
1124500.3%
 
ValueCountFrequency (%) 
1831280.4%
 
1730850.3%
 
1630100.3%
 
1530830.3%
 
1431110.3%
 
1329680.3%
 
1226280.3%
 
1124500.3%
 
1019530.2%
 
916410.2%
 

ALTER_KIND3
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)0.2%
Missing885051
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean14.47601297
Minimum4
Maximum18
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:43.094961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile9
Q113
median15
Q317
95-th percentile18
Maximum18
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.712427345
Coefficient of variation (CV)0.1873739235
Kurtosis-0.05238128374
Mean14.47601297
Median Absolute Deviation (MAD)2
Skewness-0.6787809182
Sum89317
Variance7.357262104
MonotocityNot monotonic
2020-11-30T23:53:43.177913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
188660.1%
 
158470.1%
 
168410.1%
 
178260.1%
 
147460.1%
 
136740.1%
 
12438< 0.1%
 
11363< 0.1%
 
10237< 0.1%
 
9159< 0.1%
 
8102< 0.1%
 
740< 0.1%
 
621< 0.1%
 
58< 0.1%
 
42< 0.1%
 
(Missing)88505199.3%
 
ValueCountFrequency (%) 
42< 0.1%
 
58< 0.1%
 
621< 0.1%
 
740< 0.1%
 
8102< 0.1%
 
9159< 0.1%
 
10237< 0.1%
 
11363< 0.1%
 
12438< 0.1%
 
136740.1%
 
ValueCountFrequency (%) 
188660.1%
 
178260.1%
 
168410.1%
 
158470.1%
 
147460.1%
 
136740.1%
 
12438< 0.1%
 
11363< 0.1%
 
10237< 0.1%
 
9159< 0.1%
 

ALTER_KIND4
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)1.0%
Missing890016
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean15.08962656
Minimum7
Maximum18
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:43.277402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10
Q114
median15
Q317
95-th percentile18
Maximum18
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.452932399
Coefficient of variation (CV)0.1625575285
Kurtosis-0.04864460676
Mean15.08962656
Median Absolute Deviation (MAD)2
Skewness-0.7730811365
Sum18183
Variance6.016877352
MonotocityNot monotonic
2020-11-30T23:53:43.367110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
17225< 0.1%
 
18216< 0.1%
 
15171< 0.1%
 
16159< 0.1%
 
14136< 0.1%
 
13119< 0.1%
 
1259< 0.1%
 
1148< 0.1%
 
1042< 0.1%
 
915< 0.1%
 
814< 0.1%
 
71< 0.1%
 
(Missing)89001699.9%
 
ValueCountFrequency (%) 
71< 0.1%
 
814< 0.1%
 
915< 0.1%
 
1042< 0.1%
 
1148< 0.1%
 
1259< 0.1%
 
13119< 0.1%
 
14136< 0.1%
 
15171< 0.1%
 
16159< 0.1%
 
ValueCountFrequency (%) 
18216< 0.1%
 
17225< 0.1%
 
16159< 0.1%
 
15171< 0.1%
 
14136< 0.1%
 
13119< 0.1%
 
1259< 0.1%
 
1148< 0.1%
 
1042< 0.1%
 
915< 0.1%
 

ALTERSKATEGORIE_FEIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct26
Distinct (%)< 0.1%
Missing262947
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean13.70071657
Minimum0
Maximum25
Zeros41188
Zeros (%)4.6%
Memory size6.8 MiB
2020-11-30T23:53:43.471809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median14
Q317
95-th percentile20
Maximum25
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.079849415
Coefficient of variation (CV)0.3707725352
Kurtosis1.198872173
Mean13.70071657
Median Absolute Deviation (MAD)3
Skewness-1.047231753
Sum8607804
Variance25.80487008
MonotocityNot monotonic
2020-11-30T23:53:43.576891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
15634867.1%
 
14597096.7%
 
16533846.0%
 
18513655.8%
 
17500115.6%
 
13495565.6%
 
12429514.8%
 
19423404.8%
 
0411884.6%
 
10349033.9%
 
11330613.7%
 
20278333.1%
 
9262042.9%
 
8145161.6%
 
21136581.5%
 
785781.0%
 
637540.4%
 
2236690.4%
 
2328380.3%
 
2423400.3%
 
2510170.1%
 
59940.1%
 
46360.1%
 
3218< 0.1%
 
264< 0.1%
 
(Missing)26294729.5%
 
ValueCountFrequency (%) 
0411884.6%
 
11< 0.1%
 
264< 0.1%
 
3218< 0.1%
 
46360.1%
 
59940.1%
 
637540.4%
 
785781.0%
 
8145161.6%
 
9262042.9%
 
ValueCountFrequency (%) 
2510170.1%
 
2423400.3%
 
2328380.3%
 
2236690.4%
 
21136581.5%
 
20278333.1%
 
19423404.8%
 
18513655.8%
 
17500115.6%
 
16533846.0%
 

ANZ_HAUSHALTE_AKTIV
Real number (ℝ≥0)

MISSING

Distinct292
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean8.287263195
Minimum0
Maximum595
Zeros6463
Zeros (%)0.7%
Memory size6.8 MiB
2020-11-30T23:53:43.707931image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median4
Q39
95-th percentile28
Maximum595
Range595
Interquartile range (IQR)8

Descriptive statistics

Standard deviation15.62808702
Coefficient of variation (CV)1.885795907
Kurtosis142.6179559
Mean8.287263195
Median Absolute Deviation (MAD)3
Skewness8.779951735
Sum6613841
Variance244.2371038
MonotocityNot monotonic
2020-11-30T23:53:43.843276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
119595722.0%
 
212098213.6%
 
3625757.0%
 
4432134.8%
 
5378154.2%
 
6360204.0%
 
7345263.9%
 
8322933.6%
 
9290023.3%
 
10254282.9%
 
11219652.5%
 
12180332.0%
 
13152821.7%
 
14126251.4%
 
15103711.2%
 
1688991.0%
 
1772920.8%
 
064630.7%
 
1863240.7%
 
1954610.6%
 
2046740.5%
 
2141380.5%
 
2237350.4%
 
2332430.4%
 
2428380.3%
 
Other values (267)489195.5%
 
(Missing)9314810.5%
 
ValueCountFrequency (%) 
064630.7%
 
119595722.0%
 
212098213.6%
 
3625757.0%
 
4432134.8%
 
5378154.2%
 
6360204.0%
 
7345263.9%
 
8322933.6%
 
9290023.3%
 
ValueCountFrequency (%) 
5958< 0.1%
 
5361< 0.1%
 
5234< 0.1%
 
5154< 0.1%
 
4457< 0.1%
 
4389< 0.1%
 
4306< 0.1%
 
4143< 0.1%
 
4042< 0.1%
 
3953< 0.1%
 

ANZ_HH_TITEL
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing97008
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean0.04064652681
Minimum0
Maximum23
Zeros770244
Zeros (%)86.4%
Memory size6.8 MiB
2020-11-30T23:53:43.953943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3240284646
Coefficient of variation (CV)7.971861066
Kurtosis894.8859324
Mean0.04064652681
Median Absolute Deviation (MAD)0
Skewness22.71869357
Sum32282
Variance0.1049944458
MonotocityNot monotonic
2020-11-30T23:53:44.049629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
077024486.4%
 
1201572.3%
 
224590.3%
 
35850.1%
 
4232< 0.1%
 
5117< 0.1%
 
6106< 0.1%
 
868< 0.1%
 
765< 0.1%
 
934< 0.1%
 
1329< 0.1%
 
1222< 0.1%
 
1122< 0.1%
 
1416< 0.1%
 
1016< 0.1%
 
1713< 0.1%
 
209< 0.1%
 
157< 0.1%
 
186< 0.1%
 
163< 0.1%
 
233< 0.1%
 
(Missing)9700810.9%
 
ValueCountFrequency (%) 
077024486.4%
 
1201572.3%
 
224590.3%
 
35850.1%
 
4232< 0.1%
 
5117< 0.1%
 
6106< 0.1%
 
765< 0.1%
 
868< 0.1%
 
934< 0.1%
 
ValueCountFrequency (%) 
233< 0.1%
 
209< 0.1%
 
186< 0.1%
 
1713< 0.1%
 
163< 0.1%
 
157< 0.1%
 
1416< 0.1%
 
1329< 0.1%
 
1222< 0.1%
 
1122< 0.1%
 

ANZ_KINDER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.1540181137
Minimum0
Maximum11
Zeros731242
Zeros (%)82.0%
Memory size6.8 MiB
2020-11-30T23:53:44.142531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5023888664
Coefficient of variation (CV)3.261881698
Kurtosis18.38960401
Mean0.1540181137
Median Absolute Deviation (MAD)0
Skewness3.922593655
Sum125944
Variance0.2523945731
MonotocityNot monotonic
2020-11-30T23:53:44.228281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
073124282.0%
 
1553506.2%
 
2244452.7%
 
353760.6%
 
410570.1%
 
5190< 0.1%
 
647< 0.1%
 
710< 0.1%
 
93< 0.1%
 
111< 0.1%
 
81< 0.1%
 
(Missing)734998.2%
 
ValueCountFrequency (%) 
073124282.0%
 
1553506.2%
 
2244452.7%
 
353760.6%
 
410570.1%
 
5190< 0.1%
 
647< 0.1%
 
710< 0.1%
 
81< 0.1%
 
93< 0.1%
 
ValueCountFrequency (%) 
111< 0.1%
 
93< 0.1%
 
81< 0.1%
 
710< 0.1%
 
647< 0.1%
 
5190< 0.1%
 
410570.1%
 
353760.6%
 
2244452.7%
 
1553506.2%
 

ANZ_PERSONEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct30
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean1.727637265
Minimum0
Maximum45
Zeros34103
Zeros (%)3.8%
Memory size6.8 MiB
2020-11-30T23:53:44.327714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum45
Range45
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.155849337
Coefficient of variation (CV)0.6690347329
Kurtosis14.44942207
Mean1.727637265
Median Absolute Deviation (MAD)0
Skewness1.875265299
Sum1412727
Variance1.335987689
MonotocityNot monotonic
2020-11-30T23:53:44.425115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
142338347.5%
 
219547021.9%
 
39490510.6%
 
4471265.3%
 
0341033.8%
 
5155031.7%
 
648420.5%
 
715250.2%
 
85230.1%
 
9180< 0.1%
 
1067< 0.1%
 
1138< 0.1%
 
1216< 0.1%
 
1311< 0.1%
 
214< 0.1%
 
144< 0.1%
 
153< 0.1%
 
203< 0.1%
 
222< 0.1%
 
382< 0.1%
 
372< 0.1%
 
232< 0.1%
 
401< 0.1%
 
291< 0.1%
 
171< 0.1%
 
Other values (5)5< 0.1%
 
(Missing)734998.2%
 
ValueCountFrequency (%) 
0341033.8%
 
142338347.5%
 
219547021.9%
 
39490510.6%
 
4471265.3%
 
5155031.7%
 
648420.5%
 
715250.2%
 
85230.1%
 
9180< 0.1%
 
ValueCountFrequency (%) 
451< 0.1%
 
401< 0.1%
 
382< 0.1%
 
372< 0.1%
 
351< 0.1%
 
311< 0.1%
 
291< 0.1%
 
232< 0.1%
 
222< 0.1%
 
214< 0.1%
 

ANZ_STATISTISCHE_HAUSHALTE
Real number (ℝ≥0)

MISSING

Distinct268
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean7.599356199
Minimum0
Maximum449
Zeros43
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-11-30T23:53:44.654668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q39
95-th percentile26
Maximum449
Range449
Interquartile range (IQR)8

Descriptive statistics

Standard deviation14.33220143
Coefficient of variation (CV)1.88597574
Kurtosis126.886353
Mean7.599356199
Median Absolute Deviation (MAD)2
Skewness8.514017811
Sum6064841
Variance205.4119979
MonotocityNot monotonic
2020-11-30T23:53:44.788073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
121911924.6%
 
212148513.6%
 
3614786.9%
 
4448645.0%
 
5401334.5%
 
6384664.3%
 
7365894.1%
 
8328163.7%
 
9285003.2%
 
10241002.7%
 
11194612.2%
 
12162961.8%
 
13130401.5%
 
14106161.2%
 
1589391.0%
 
1673140.8%
 
1761360.7%
 
1852200.6%
 
1944650.5%
 
2038400.4%
 
2134330.4%
 
2232210.4%
 
2326330.3%
 
2424850.3%
 
2523840.3%
 
Other values (243)410404.6%
 
(Missing)9314810.5%
 
ValueCountFrequency (%) 
043< 0.1%
 
121911924.6%
 
212148513.6%
 
3614786.9%
 
4448645.0%
 
5401334.5%
 
6384664.3%
 
7365894.1%
 
8328163.7%
 
9285003.2%
 
ValueCountFrequency (%) 
4493< 0.1%
 
4457< 0.1%
 
3756< 0.1%
 
3713< 0.1%
 
3699< 0.1%
 
3679< 0.1%
 
3667< 0.1%
 
3659< 0.1%
 
3549< 0.1%
 
3538< 0.1%
 

ANZ_TITEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.00416156102
Minimum0
Maximum6
Zeros814542
Zeros (%)91.4%
Memory size6.8 MiB
2020-11-30T23:53:44.889496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06885512372
Coefficient of variation (CV)16.54550381
Kurtosis450.2677478
Mean0.00416156102
Median Absolute Deviation (MAD)0
Skewness18.79279598
Sum3403
Variance0.004741028062
MonotocityNot monotonic
2020-11-30T23:53:44.974908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
081454291.4%
 
129700.3%
 
2202< 0.1%
 
35< 0.1%
 
42< 0.1%
 
61< 0.1%
 
(Missing)734998.2%
 
ValueCountFrequency (%) 
081454291.4%
 
129700.3%
 
2202< 0.1%
 
35< 0.1%
 
42< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
61< 0.1%
 
42< 0.1%
 
35< 0.1%
 
2202< 0.1%
 
129700.3%
 
081454291.4%
 

ARBEIT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing97216
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean3.167854107
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:45.060694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0023762
Coefficient of variation (CV)0.3164212008
Kurtosis-0.2117945621
Mean3.167854107
Median Absolute Deviation (MAD)1
Skewness-0.4612907983
Sum2515292
Variance1.004758047
MonotocityNot monotonic
2020-11-30T23:53:45.141123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
431133934.9%
 
325498828.6%
 
213566215.2%
 
1567676.4%
 
5350903.9%
 
9159< 0.1%
 
(Missing)9721610.9%
 
ValueCountFrequency (%) 
1567676.4%
 
213566215.2%
 
325498828.6%
 
431133934.9%
 
5350903.9%
 
9159< 0.1%
 
ValueCountFrequency (%) 
9159< 0.1%
 
5350903.9%
 
431133934.9%
 
325498828.6%
 
213566215.2%
 
1567676.4%
 

BALLRAUM
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing93740
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean4.153043145
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:45.227520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.183709883
Coefficient of variation (CV)0.5258095827
Kurtosis-1.517783243
Mean4.153043145
Median Absolute Deviation (MAD)2
Skewness-0.2395397181
Sum3311973
Variance4.768588851
MonotocityNot monotonic
2020-11-30T23:53:45.302679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
625509328.6%
 
115178217.0%
 
210452111.7%
 
79903911.1%
 
3732778.2%
 
4613586.9%
 
5524115.9%
 
(Missing)9374010.5%
 
ValueCountFrequency (%) 
115178217.0%
 
210452111.7%
 
3732778.2%
 
4613586.9%
 
5524115.9%
 
625509328.6%
 
79903911.1%
 
ValueCountFrequency (%) 
79903911.1%
 
625509328.6%
 
5524115.9%
 
4613586.9%
 
3732778.2%
 
210452111.7%
 
115178217.0%
 

CAMEO_DEU_2015
Categorical

MISSING

Distinct45
Distinct (%)< 0.1%
Missing98979
Missing (%)11.1%
Memory size6.8 MiB
6B
56672 
8A
 
52438
4C
 
47819
2D
 
35074
3C
 
34769
Other values (40)
565470 
ValueCountFrequency (%) 
6B566726.4%
 
8A524385.9%
 
4C478195.4%
 
2D350743.9%
 
3C347693.9%
 
7A343993.9%
 
3D343073.8%
 
8B334343.8%
 
4A331553.7%
 
8C309933.5%
 
9D285933.2%
 
9B276763.1%
 
9C249872.8%
 
7B245032.7%
 
9A205422.3%
 
2C194222.2%
 
8D175762.0%
 
6E161071.8%
 
2B154861.7%
 
5D149431.7%
 
6C148201.7%
 
2A132491.5%
 
5A122141.4%
 
1D119091.3%
 
1A108501.2%
 
Other values (20)12630514.2%
 
(Missing)9897911.1%
 
2020-11-30T23:53:45.436979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters18
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n19795810.5%
 
C19612710.4%
 
A19420010.3%
 
B18840310.0%
 
D1623788.6%
 
81344417.1%
 
91081775.7%
 
61058745.6%
 
41039125.5%
 
a989795.3%
 
3867794.6%
 
2832314.4%
 
7779334.1%
 
5553102.9%
 
E410862.2%
 
1362121.9%
 
F96750.5%
 
X746< 0.1%
 

Most occurring categories

ValueCountFrequency (%) 
Uppercase Letter79261542.1%
 
Decimal Number79186942.1%
 
Lowercase Letter29693715.8%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n19795866.7%
 
a9897933.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
813444117.0%
 
910817713.7%
 
610587413.4%
 
410391213.1%
 
38677911.0%
 
28323110.5%
 
7779339.8%
 
5553107.0%
 
1362124.6%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
C19612724.7%
 
A19420024.5%
 
B18840323.8%
 
D16237820.5%
 
E410865.2%
 
F96751.2%
 
X7460.1%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin108955257.9%
 
Common79186942.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n19795818.2%
 
C19612718.0%
 
A19420017.8%
 
B18840317.3%
 
D16237814.9%
 
a989799.1%
 
E410863.8%
 
F96750.9%
 
X7460.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
813444117.0%
 
910817713.7%
 
610587413.4%
 
410391213.1%
 
38677911.0%
 
28323110.5%
 
7779339.8%
 
5553107.0%
 
1362124.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII1881421100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n19795810.5%
 
C19612710.4%
 
A19420010.3%
 
B18840310.0%
 
D1623788.6%
 
81344417.1%
 
91081775.7%
 
61058745.6%
 
41039125.5%
 
a989795.3%
 
3867794.6%
 
2832314.4%
 
7779334.1%
 
5553102.9%
 
E410862.2%
 
1362121.9%
 
F96750.5%
 
X746< 0.1%
 

CAMEO_DEUG_2015
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing99352
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean5.537664689
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:45.540809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median6
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.489829865
Coefficient of variation (CV)0.4496173034
Kurtosis-1.244538299
Mean5.537664689
Median Absolute Deviation (MAD)2
Skewness-0.1735835076
Sum4385105
Variance6.199252757
MonotocityNot monotonic
2020-11-30T23:53:45.629014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
813444115.1%
 
910817712.1%
 
610587411.9%
 
410391211.7%
 
3867799.7%
 
2832319.3%
 
7779338.7%
 
5553106.2%
 
1362124.1%
 
(Missing)9935211.1%
 
ValueCountFrequency (%) 
1362124.1%
 
2832319.3%
 
3867799.7%
 
410391211.7%
 
5553106.2%
 
610587411.9%
 
7779338.7%
 
813444115.1%
 
910817712.1%
 
ValueCountFrequency (%) 
910817712.1%
 
813444115.1%
 
7779338.7%
 
610587411.9%
 
5553106.2%
 
410391211.7%
 
3867799.7%
 
2832319.3%
 
1362124.1%
 

CAMEO_INTL_2015
Real number (ℝ≥0)

MISSING

Distinct21
Distinct (%)< 0.1%
Missing99352
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean35.49400974
Minimum12
Maximum55
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:45.729936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile14
Q124
median41
Q351
95-th percentile54
Maximum55
Range43
Interquartile range (IQR)27

Descriptive statistics

Standard deviation14.03047934
Coefficient of variation (CV)0.3952914715
Kurtosis-1.382706935
Mean35.49400974
Median Absolute Deviation (MAD)11
Skewness-0.1989473512
Sum28106606
Variance196.8543505
MonotocityNot monotonic
2020-11-30T23:53:45.822929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
5113369415.0%
 
419233610.4%
 
249115810.2%
 
14628847.1%
 
43566726.4%
 
54453915.1%
 
25396284.4%
 
22331553.7%
 
23267503.0%
 
13263363.0%
 
45261322.9%
 
55239552.7%
 
52205422.3%
 
31190242.1%
 
34185242.1%
 
15169741.9%
 
44148201.7%
 
12132491.5%
 
35103561.2%
 
32103541.2%
 
3399351.1%
 
(Missing)9935211.1%
 
ValueCountFrequency (%) 
12132491.5%
 
13263363.0%
 
14628847.1%
 
15169741.9%
 
22331553.7%
 
23267503.0%
 
249115810.2%
 
25396284.4%
 
31190242.1%
 
32103541.2%
 
ValueCountFrequency (%) 
55239552.7%
 
54453915.1%
 
52205422.3%
 
5113369415.0%
 
45261322.9%
 
44148201.7%
 
43566726.4%
 
419233610.4%
 
35103561.2%
 
34185242.1%
 

CJT_GESAMTTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.632838316
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:45.909049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.595021092
Coefficient of variation (CV)0.4390564493
Kurtosis-1.068626824
Mean3.632838316
Median Absolute Deviation (MAD)1
Skewness-0.03888466953
Sum3220028
Variance2.544092284
MonotocityNot monotonic
2020-11-30T23:53:45.997459image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
421096323.7%
 
315644917.6%
 
615391517.3%
 
214879516.7%
 
511737613.2%
 
19886911.1%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
19886911.1%
 
214879516.7%
 
315644917.6%
 
421096323.7%
 
511737613.2%
 
615391517.3%
 
ValueCountFrequency (%) 
615391517.3%
 
511737613.2%
 
421096323.7%
 
315644917.6%
 
214879516.7%
 
19886911.1%
 

CJT_KATALOGNUTZER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.335264061
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:46.087756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.493633238
Coefficient of variation (CV)0.4478305797
Kurtosis-1.296240559
Mean3.335264061
Median Absolute Deviation (MAD)1
Skewness-0.3517296555
Sum2956268
Variance2.230940249
MonotocityNot monotonic
2020-11-30T23:53:46.176167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
528180431.6%
 
417427519.6%
 
116742618.8%
 
315699817.6%
 
210586411.9%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
116742618.8%
 
210586411.9%
 
315699817.6%
 
417427519.6%
 
528180431.6%
 
ValueCountFrequency (%) 
528180431.6%
 
417427519.6%
 
315699817.6%
 
210586411.9%
 
116742618.8%
 

CJT_TYP_1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.36808568
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:46.266230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.368331134
Coefficient of variation (CV)0.4062637545
Kurtosis-1.272365653
Mean3.36808568
Median Absolute Deviation (MAD)1
Skewness-0.20738815
Sum2985360
Variance1.872330092
MonotocityNot monotonic
2020-11-30T23:53:46.348212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
526748830.0%
 
219654522.1%
 
317183819.3%
 
416294018.3%
 
1875569.8%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
1875569.8%
 
219654522.1%
 
317183819.3%
 
416294018.3%
 
526748830.0%
 
ValueCountFrequency (%) 
526748830.0%
 
416294018.3%
 
317183819.3%
 
219654522.1%
 
1875569.8%
 

CJT_TYP_2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.195014029
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:46.439033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.401382044
Coefficient of variation (CV)0.4386153023
Kurtosis-1.314657968
Mean3.195014029
Median Absolute Deviation (MAD)1
Skewness-0.07231544082
Sum2831955
Variance1.963871634
MonotocityNot monotonic
2020-11-30T23:53:46.518228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
523330226.2%
 
220542523.0%
 
317391019.5%
 
415304517.2%
 
112068513.5%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
112068513.5%
 
220542523.0%
 
317391019.5%
 
415304517.2%
 
523330226.2%
 
ValueCountFrequency (%) 
523330226.2%
 
415304517.2%
 
317391019.5%
 
220542523.0%
 
112068513.5%
 

CJT_TYP_3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.351290154
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:46.609461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.39650818
Coefficient of variation (CV)0.4167076308
Kurtosis-1.277899908
Mean3.351290154
Median Absolute Deviation (MAD)1
Skewness-0.2281159196
Sum2970473
Variance1.950235097
MonotocityNot monotonic
2020-11-30T23:53:46.691809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
527014330.3%
 
218180320.4%
 
317016219.1%
 
416046918.0%
 
110379011.6%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
110379011.6%
 
218180320.4%
 
317016219.1%
 
416046918.0%
 
527014330.3%
 
ValueCountFrequency (%) 
527014330.3%
 
416046918.0%
 
317016219.1%
 
218180320.4%
 
110379011.6%
 

CJT_TYP_4
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.336150827
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:46.780120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.373077074
Coefficient of variation (CV)0.4115752392
Kurtosis-1.236298353
Mean3.336150827
Median Absolute Deviation (MAD)1
Skewness-0.2159554074
Sum2957054
Variance1.885340652
MonotocityNot monotonic
2020-11-30T23:53:46.862067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
525476328.6%
 
318097520.3%
 
218031220.2%
 
416979119.1%
 
110052611.3%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
110052611.3%
 
218031220.2%
 
318097520.3%
 
416979119.1%
 
525476328.6%
 
ValueCountFrequency (%) 
525476328.6%
 
416979119.1%
 
318097520.3%
 
218031220.2%
 
110052611.3%
 

CJT_TYP_5
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.360683554
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:46.951309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.378991926
Coefficient of variation (CV)0.4103307865
Kurtosis-1.242384739
Mean3.360683554
Median Absolute Deviation (MAD)1
Skewness-0.2167781689
Sum2978799
Variance1.901618732
MonotocityNot monotonic
2020-11-30T23:53:47.048019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
527167330.5%
 
319463621.8%
 
217480819.6%
 
414722016.5%
 
19803011.0%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
19803011.0%
 
217480819.6%
 
319463621.8%
 
414722016.5%
 
527167330.5%
 
ValueCountFrequency (%) 
527167330.5%
 
414722016.5%
 
319463621.8%
 
217480819.6%
 
19803011.0%
 

CJT_TYP_6
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.465979668
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:47.141797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.3284557
Coefficient of variation (CV)0.3832843316
Kurtosis-1.150027223
Mean3.465979668
Median Absolute Deviation (MAD)1
Skewness-0.326775854
Sum3072130
Variance1.764794547
MonotocityNot monotonic
2020-11-30T23:53:47.223184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
527220830.5%
 
419343021.7%
 
217517919.7%
 
317073119.2%
 
1748198.4%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
1748198.4%
 
217517919.7%
 
317073119.2%
 
419343021.7%
 
527220830.5%
 
ValueCountFrequency (%) 
527220830.5%
 
419343021.7%
 
317073119.2%
 
217517919.7%
 
1748198.4%
 

D19_BANKEN_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1223355374
Minimum0
Maximum6
Zeros831734
Zeros (%)93.3%
Memory size6.8 MiB
2020-11-30T23:53:47.461444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.535949819
Coefficient of variation (CV)4.380982258
Kurtosis35.68955582
Mean0.1223355374
Median Absolute Deviation (MAD)0
Skewness5.544272367
Sum109028
Variance0.2872422085
MonotocityNot monotonic
2020-11-30T23:53:47.542225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
083173493.3%
 
1297713.3%
 
2180672.0%
 
357080.6%
 
440820.5%
 
514830.2%
 
6376< 0.1%
 
ValueCountFrequency (%) 
083173493.3%
 
1297713.3%
 
2180672.0%
 
357080.6%
 
440820.5%
 
514830.2%
 
6376< 0.1%
 
ValueCountFrequency (%) 
6376< 0.1%
 
514830.2%
 
440820.5%
 
357080.6%
 
2180672.0%
 
1297713.3%
 
083173493.3%
 

D19_BANKEN_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2199072957
Minimum0
Maximum6
Zeros794100
Zeros (%)89.1%
Memory size6.8 MiB
2020-11-30T23:53:47.629687image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7479025591
Coefficient of variation (CV)3.400990206
Kurtosis19.49388354
Mean0.2199072957
Median Absolute Deviation (MAD)0
Skewness4.197355628
Sum195986
Variance0.5593582379
MonotocityNot monotonic
2020-11-30T23:53:47.710227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
079410089.1%
 
1435544.9%
 
2290793.3%
 
3102141.1%
 
490411.0%
 
539300.4%
 
613030.1%
 
ValueCountFrequency (%) 
079410089.1%
 
1435544.9%
 
2290793.3%
 
3102141.1%
 
490411.0%
 
539300.4%
 
613030.1%
 
ValueCountFrequency (%) 
613030.1%
 
539300.4%
 
490411.0%
 
3102141.1%
 
2290793.3%
 
1435544.9%
 
079410089.1%
 

D19_BANKEN_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.267419641
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:47.801518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.735724547
Coefficient of variation (CV)0.1872931856
Kurtosis7.988738678
Mean9.267419641
Median Absolute Deviation (MAD)0
Skewness-2.850510488
Sum8259319
Variance3.012739702
MonotocityNot monotonic
2020-11-30T23:53:47.885147image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1067833176.1%
 
9827079.3%
 
8330623.7%
 
5294943.3%
 
7204822.3%
 
6171521.9%
 
184951.0%
 
484060.9%
 
280010.9%
 
350910.6%
 
ValueCountFrequency (%) 
184951.0%
 
280010.9%
 
350910.6%
 
484060.9%
 
5294943.3%
 
6171521.9%
 
7204822.3%
 
8330623.7%
 
9827079.3%
 
1067833176.1%
 
ValueCountFrequency (%) 
1067833176.1%
 
9827079.3%
 
8330623.7%
 
7204822.3%
 
6171521.9%
 
5294943.3%
 
484060.9%
 
350910.6%
 
280010.9%
 
184951.0%
 

D19_BANKEN_DIREKT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8927347987
Minimum0
Maximum7
Zeros728811
Zeros (%)81.8%
Memory size6.8 MiB
2020-11-30T23:53:47.968667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.011837672
Coefficient of variation (CV)2.253566989
Kurtosis2.168067482
Mean0.8927347987
Median Absolute Deviation (MAD)0
Skewness1.975549613
Sum795624
Variance4.04749082
MonotocityNot monotonic
2020-11-30T23:53:48.051746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
072881181.8%
 
6847989.5%
 
3273503.1%
 
5185392.1%
 
487711.0%
 
281190.9%
 
776560.9%
 
171770.8%
 
ValueCountFrequency (%) 
072881181.8%
 
171770.8%
 
281190.9%
 
3273503.1%
 
487711.0%
 
5185392.1%
 
6847989.5%
 
776560.9%
 
ValueCountFrequency (%) 
776560.9%
 
6847989.5%
 
5185392.1%
 
487711.0%
 
3273503.1%
 
281190.9%
 
171770.8%
 
072881181.8%
 

D19_BANKEN_GROSS
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5685795106
Minimum0
Maximum6
Zeros785351
Zeros (%)88.1%
Memory size6.8 MiB
2020-11-30T23:53:48.139425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.643763602
Coefficient of variation (CV)2.891000417
Kurtosis5.732380031
Mean0.5685795106
Median Absolute Deviation (MAD)0
Skewness2.72238652
Sum506730
Variance2.701958781
MonotocityNot monotonic
2020-11-30T23:53:48.220067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
078535188.1%
 
6571036.4%
 
3148621.7%
 
5139111.6%
 
481650.9%
 
163470.7%
 
254820.6%
 
ValueCountFrequency (%) 
078535188.1%
 
163470.7%
 
254820.6%
 
3148621.7%
 
481650.9%
 
5139111.6%
 
6571036.4%
 
ValueCountFrequency (%) 
6571036.4%
 
5139111.6%
 
481650.9%
 
3148621.7%
 
254820.6%
 
163470.7%
 
078535188.1%
 

D19_BANKEN_LOKAL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1067692525
Minimum0
Maximum7
Zeros874745
Zeros (%)98.2%
Memory size6.8 MiB
2020-11-30T23:53:48.308002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8081790634
Coefficient of variation (CV)7.569398907
Kurtosis60.04532759
Mean0.1067692525
Median Absolute Deviation (MAD)0
Skewness7.777010935
Sum95155
Variance0.6531533985
MonotocityNot monotonic
2020-11-30T23:53:48.384733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
087474598.2%
 
785221.0%
 
335000.4%
 
632020.4%
 
510530.1%
 
2118< 0.1%
 
469< 0.1%
 
112< 0.1%
 
ValueCountFrequency (%) 
087474598.2%
 
112< 0.1%
 
2118< 0.1%
 
335000.4%
 
469< 0.1%
 
510530.1%
 
632020.4%
 
785221.0%
 
ValueCountFrequency (%) 
785221.0%
 
632020.4%
 
510530.1%
 
469< 0.1%
 
335000.4%
 
2118< 0.1%
 
112< 0.1%
 
087474598.2%
 

D19_BANKEN_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.926793691
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:48.472208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6056413659
Coefficient of variation (CV)0.06101077394
Kurtosis117.0672592
Mean9.926793691
Median Absolute Deviation (MAD)0
Skewness-10.30930608
Sum8846967
Variance0.366801464
MonotocityNot monotonic
2020-11-30T23:53:48.548263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1087153597.8%
 
864510.7%
 
952970.6%
 
541770.5%
 
220580.2%
 
65090.1%
 
14760.1%
 
7335< 0.1%
 
4311< 0.1%
 
372< 0.1%
 
ValueCountFrequency (%) 
14760.1%
 
220580.2%
 
372< 0.1%
 
4311< 0.1%
 
541770.5%
 
65090.1%
 
7335< 0.1%
 
864510.7%
 
952970.6%
 
1087153597.8%
 
ValueCountFrequency (%) 
1087153597.8%
 
952970.6%
 
864510.7%
 
7335< 0.1%
 
65090.1%
 
541770.5%
 
4311< 0.1%
 
372< 0.1%
 
220580.2%
 
14760.1%
 

D19_BANKEN_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.439072912
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:48.629941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.54777343
Coefficient of variation (CV)0.1639751535
Kurtosis11.67298613
Mean9.439072912
Median Absolute Deviation (MAD)0
Skewness-3.372331244
Sum8412300
Variance2.395602589
MonotocityNot monotonic
2020-11-30T23:53:48.710806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1072698281.6%
 
9660777.4%
 
8229392.6%
 
5221242.5%
 
7163211.8%
 
6136681.5%
 
169170.8%
 
468690.8%
 
249650.6%
 
343590.5%
 
ValueCountFrequency (%) 
169170.8%
 
249650.6%
 
343590.5%
 
468690.8%
 
5221242.5%
 
6136681.5%
 
7163211.8%
 
8229392.6%
 
9660777.4%
 
1072698281.6%
 
ValueCountFrequency (%) 
1072698281.6%
 
9660777.4%
 
8229392.6%
 
7163211.8%
 
6136681.5%
 
5221242.5%
 
468690.8%
 
343590.5%
 
249650.6%
 
169170.8%
 

D19_BANKEN_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.7052205618
Minimum0
Maximum10
Zeros588874
Zeros (%)66.1%
Memory size6.8 MiB
2020-11-30T23:53:48.796207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.552707473
Coefficient of variation (CV)3.619729219
Kurtosis9.269283652
Mean0.7052205618
Median Absolute Deviation (MAD)0
Skewness3.354041234
Sum447186
Variance6.516315445
MonotocityNot monotonic
2020-11-30T23:53:48.883357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
058887466.1%
 
10440654.9%
 
5391< 0.1%
 
3220< 0.1%
 
7214< 0.1%
 
8172< 0.1%
 
967< 0.1%
 
650< 0.1%
 
235< 0.1%
 
418< 0.1%
 
12< 0.1%
 
(Missing)25711328.8%
 
ValueCountFrequency (%) 
058887466.1%
 
12< 0.1%
 
235< 0.1%
 
3220< 0.1%
 
418< 0.1%
 
5391< 0.1%
 
650< 0.1%
 
7214< 0.1%
 
8172< 0.1%
 
967< 0.1%
 
ValueCountFrequency (%) 
10440654.9%
 
967< 0.1%
 
8172< 0.1%
 
7214< 0.1%
 
650< 0.1%
 
5391< 0.1%
 
418< 0.1%
 
3220< 0.1%
 
235< 0.1%
 
12< 0.1%
 

D19_BANKEN_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4256452664
Minimum0
Maximum7
Zeros821760
Zeros (%)92.2%
Memory size6.8 MiB
2020-11-30T23:53:48.968337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.510782005
Coefficient of variation (CV)3.549392239
Kurtosis9.772301708
Mean0.4256452664
Median Absolute Deviation (MAD)0
Skewness3.389116791
Sum379344
Variance2.282462268
MonotocityNot monotonic
2020-11-30T23:53:49.057081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
082176092.2%
 
6431434.8%
 
577440.9%
 
773390.8%
 
359430.7%
 
229280.3%
 
414480.2%
 
19160.1%
 
ValueCountFrequency (%) 
082176092.2%
 
19160.1%
 
229280.3%
 
359430.7%
 
414480.2%
 
577440.9%
 
6431434.8%
 
773390.8%
 
ValueCountFrequency (%) 
773390.8%
 
6431434.8%
 
577440.9%
 
414480.2%
 
359430.7%
 
229280.3%
 
19160.1%
 
082176092.2%
 

D19_BEKLEIDUNG_GEH
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4678693612
Minimum0
Maximum7
Zeros809304
Zeros (%)90.8%
Memory size6.8 MiB
2020-11-30T23:53:49.146091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.542150743
Coefficient of variation (CV)3.296113981
Kurtosis8.575243035
Mean0.4678693612
Median Absolute Deviation (MAD)0
Skewness3.183221612
Sum416975
Variance2.378228914
MonotocityNot monotonic
2020-11-30T23:53:49.228758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
080930490.8%
 
6393924.4%
 
3152391.7%
 
5118991.3%
 
784781.0%
 
231170.3%
 
420130.2%
 
117790.2%
 
ValueCountFrequency (%) 
080930490.8%
 
117790.2%
 
231170.3%
 
3152391.7%
 
420130.2%
 
5118991.3%
 
6393924.4%
 
784781.0%
 
ValueCountFrequency (%) 
784781.0%
 
6393924.4%
 
5118991.3%
 
420130.2%
 
3152391.7%
 
231170.3%
 
117790.2%
 
080930490.8%
 

D19_BEKLEIDUNG_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.145516095
Minimum0
Maximum7
Zeros692502
Zeros (%)77.7%
Memory size6.8 MiB
2020-11-30T23:53:49.317458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.266998592
Coefficient of variation (CV)1.979019414
Kurtosis0.8072089987
Mean1.145516095
Median Absolute Deviation (MAD)0
Skewness1.613705085
Sum1020908
Variance5.139282617
MonotocityNot monotonic
2020-11-30T23:53:49.398658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
069250277.7%
 
610902512.2%
 
3302013.4%
 
7196372.2%
 
5185542.1%
 
287481.0%
 
172620.8%
 
452920.6%
 
ValueCountFrequency (%) 
069250277.7%
 
172620.8%
 
287481.0%
 
3302013.4%
 
452920.6%
 
5185542.1%
 
610902512.2%
 
7196372.2%
 
ValueCountFrequency (%) 
7196372.2%
 
610902512.2%
 
5185542.1%
 
452920.6%
 
3302013.4%
 
287481.0%
 
172620.8%
 
069250277.7%
 

D19_BILDUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4855080839
Minimum0
Maximum7
Zeros813156
Zeros (%)91.2%
Memory size6.8 MiB
2020-11-30T23:53:49.499006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.639339895
Coefficient of variation (CV)3.376545004
Kurtosis8.789013383
Mean0.4855080839
Median Absolute Deviation (MAD)0
Skewness3.236373733
Sum432695
Variance2.687435291
MonotocityNot monotonic
2020-11-30T23:53:49.594662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
081315691.2%
 
6375024.2%
 
7218282.4%
 
285821.0%
 
351270.6%
 
533630.4%
 
412880.1%
 
1375< 0.1%
 
ValueCountFrequency (%) 
081315691.2%
 
1375< 0.1%
 
285821.0%
 
351270.6%
 
412880.1%
 
533630.4%
 
6375024.2%
 
7218282.4%
 
ValueCountFrequency (%) 
7218282.4%
 
6375024.2%
 
533630.4%
 
412880.1%
 
351270.6%
 
285821.0%
 
1375< 0.1%
 
081315691.2%
 

D19_BIO_OEKO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2579382667
Minimum0
Maximum7
Zeros854074
Zeros (%)95.8%
Memory size6.8 MiB
2020-11-30T23:53:49.688289image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.252328077
Coefficient of variation (CV)4.855146514
Kurtosis20.70782897
Mean0.2579382667
Median Absolute Deviation (MAD)0
Skewness4.732438138
Sum229880
Variance1.568325611
MonotocityNot monotonic
2020-11-30T23:53:49.770900image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
085407495.8%
 
6177322.0%
 
7152411.7%
 
521210.2%
 
319260.2%
 
483< 0.1%
 
242< 0.1%
 
12< 0.1%
 
ValueCountFrequency (%) 
085407495.8%
 
12< 0.1%
 
242< 0.1%
 
319260.2%
 
483< 0.1%
 
521210.2%
 
6177322.0%
 
7152411.7%
 
ValueCountFrequency (%) 
7152411.7%
 
6177322.0%
 
521210.2%
 
483< 0.1%
 
319260.2%
 
242< 0.1%
 
12< 0.1%
 
085407495.8%
 

D19_BUCH_CD
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.585404742
Minimum0
Maximum7
Zeros622788
Zeros (%)69.9%
Memory size6.8 MiB
2020-11-30T23:53:49.860862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.547925475
Coefficient of variation (CV)1.60711357
Kurtosis-0.721059398
Mean1.585404742
Median Absolute Deviation (MAD)0
Skewness1.081502492
Sum1412946
Variance6.491924228
MonotocityNot monotonic
2020-11-30T23:53:49.945125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
062278869.9%
 
618826321.1%
 
3261922.9%
 
5159001.8%
 
1117351.3%
 
291871.0%
 
788531.0%
 
483030.9%
 
ValueCountFrequency (%) 
062278869.9%
 
1117351.3%
 
291871.0%
 
3261922.9%
 
483030.9%
 
5159001.8%
 
618826321.1%
 
788531.0%
 
ValueCountFrequency (%) 
788531.0%
 
618826321.1%
 
5159001.8%
 
483030.9%
 
3261922.9%
 
291871.0%
 
1117351.3%
 
062278869.9%
 

D19_DIGIT_SERV
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1967458128
Minimum0
Maximum7
Zeros857661
Zeros (%)96.2%
Memory size6.8 MiB
2020-11-30T23:53:50.033850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.036761626
Coefficient of variation (CV)5.269548618
Kurtosis27.29309336
Mean0.1967458128
Median Absolute Deviation (MAD)0
Skewness5.331820494
Sum175344
Variance1.074874669
MonotocityNot monotonic
2020-11-30T23:53:50.121739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
085766196.2%
 
6179422.0%
 
361530.7%
 
740300.5%
 
532250.4%
 
212930.1%
 
44650.1%
 
14520.1%
 
ValueCountFrequency (%) 
085766196.2%
 
14520.1%
 
212930.1%
 
361530.7%
 
44650.1%
 
532250.4%
 
6179422.0%
 
740300.5%
 
ValueCountFrequency (%) 
740300.5%
 
6179422.0%
 
532250.4%
 
44650.1%
 
361530.7%
 
212930.1%
 
14520.1%
 
085766196.2%
 

D19_DROGERIEARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6732920342
Minimum0
Maximum7
Zeros761014
Zeros (%)85.4%
Memory size6.8 MiB
2020-11-30T23:53:50.214709image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.752757614
Coefficient of variation (CV)2.603265039
Kurtosis4.475394192
Mean0.6732920342
Median Absolute Deviation (MAD)0
Skewness2.4550082
Sum600052
Variance3.072159252
MonotocityNot monotonic
2020-11-30T23:53:50.304446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
076101485.4%
 
6520605.8%
 
3247632.8%
 
5175482.0%
 
4109511.2%
 
299281.1%
 
778410.9%
 
171160.8%
 
ValueCountFrequency (%) 
076101485.4%
 
171160.8%
 
299281.1%
 
3247632.8%
 
4109511.2%
 
5175482.0%
 
6520605.8%
 
778410.9%
 
ValueCountFrequency (%) 
778410.9%
 
6520605.8%
 
5175482.0%
 
4109511.2%
 
3247632.8%
 
299281.1%
 
171160.8%
 
076101485.4%
 

D19_ENERGIE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3468544839
Minimum0
Maximum7
Zeros829857
Zeros (%)93.1%
Memory size6.8 MiB
2020-11-30T23:53:50.403751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.337269246
Coefficient of variation (CV)3.855418649
Kurtosis13.41220687
Mean0.3468544839
Median Absolute Deviation (MAD)0
Skewness3.838273892
Sum309124
Variance1.788289036
MonotocityNot monotonic
2020-11-30T23:53:50.495607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
082985793.1%
 
6257882.9%
 
3145721.6%
 
595561.1%
 
776550.9%
 
219670.2%
 
411850.1%
 
16410.1%
 
ValueCountFrequency (%) 
082985793.1%
 
16410.1%
 
219670.2%
 
3145721.6%
 
411850.1%
 
595561.1%
 
6257882.9%
 
776550.9%
 
ValueCountFrequency (%) 
776550.9%
 
6257882.9%
 
595561.1%
 
411850.1%
 
3145721.6%
 
219670.2%
 
16410.1%
 
082985793.1%
 

D19_FREIZEIT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5906784064
Minimum0
Maximum7
Zeros790748
Zeros (%)88.7%
Memory size6.8 MiB
2020-11-30T23:53:50.595054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.721602058
Coefficient of variation (CV)2.914618242
Kurtosis5.660377566
Mean0.5906784064
Median Absolute Deviation (MAD)0
Skewness2.712950351
Sum526425
Variance2.963913646
MonotocityNot monotonic
2020-11-30T23:53:50.699325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
079074888.7%
 
6550566.2%
 
3152971.7%
 
5135871.5%
 
785141.0%
 
439900.4%
 
226760.3%
 
113530.2%
 
ValueCountFrequency (%) 
079074888.7%
 
113530.2%
 
226760.3%
 
3152971.7%
 
439900.4%
 
5135871.5%
 
6550566.2%
 
785141.0%
 
ValueCountFrequency (%) 
785141.0%
 
6550566.2%
 
5135871.5%
 
439900.4%
 
3152971.7%
 
226760.3%
 
113530.2%
 
079074888.7%
 

D19_GARTEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2559926214
Minimum0
Maximum7
Zeros851626
Zeros (%)95.6%
Memory size6.8 MiB
2020-11-30T23:53:50.976036image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.213047558
Coefficient of variation (CV)4.738603603
Kurtosis20.21717778
Mean0.2559926214
Median Absolute Deviation (MAD)0
Skewness4.662702276
Sum228146
Variance1.471484378
MonotocityNot monotonic
2020-11-30T23:53:51.060640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
085162695.6%
 
6204102.3%
 
795551.1%
 
549790.6%
 
340030.4%
 
4328< 0.1%
 
2265< 0.1%
 
155< 0.1%
 
ValueCountFrequency (%) 
085162695.6%
 
155< 0.1%
 
2265< 0.1%
 
340030.4%
 
4328< 0.1%
 
549790.6%
 
6204102.3%
 
795551.1%
 
ValueCountFrequency (%) 
795551.1%
 
6204102.3%
 
549790.6%
 
4328< 0.1%
 
340030.4%
 
2265< 0.1%
 
155< 0.1%
 
085162695.6%
 

D19_GESAMT_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7976831785
Minimum0
Maximum6
Zeros584797
Zeros (%)65.6%
Memory size6.8 MiB
2020-11-30T23:53:51.150272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.330717922
Coefficient of variation (CV)1.668228638
Kurtosis1.978641833
Mean0.7976831785
Median Absolute Deviation (MAD)0
Skewness1.68398608
Sum710912
Variance1.770810189
MonotocityNot monotonic
2020-11-30T23:53:51.230069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
058479765.6%
 
19946511.2%
 
29728210.9%
 
3456855.1%
 
4435794.9%
 
5169661.9%
 
634470.4%
 
ValueCountFrequency (%) 
058479765.6%
 
19946511.2%
 
29728210.9%
 
3456855.1%
 
4435794.9%
 
5169661.9%
 
634470.4%
 
ValueCountFrequency (%) 
634470.4%
 
5169661.9%
 
4435794.9%
 
3456855.1%
 
29728210.9%
 
19946511.2%
 
058479765.6%
 

D19_GESAMT_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.240179484
Minimum0
Maximum6
Zeros505303
Zeros (%)56.7%
Memory size6.8 MiB
2020-11-30T23:53:51.315069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.72786727
Coefficient of variation (CV)1.393239682
Kurtosis0.1227129192
Mean1.240179484
Median Absolute Deviation (MAD)0
Skewness1.176568175
Sum1105274
Variance2.985525303
MonotocityNot monotonic
2020-11-30T23:53:51.398552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
050530356.7%
 
210178511.4%
 
1864939.7%
 
4742108.3%
 
3585546.6%
 
5465475.2%
 
6183292.1%
 
ValueCountFrequency (%) 
050530356.7%
 
1864939.7%
 
210178511.4%
 
3585546.6%
 
4742108.3%
 
5465475.2%
 
6183292.1%
 
ValueCountFrequency (%) 
6183292.1%
 
5465475.2%
 
4742108.3%
 
3585546.6%
 
210178511.4%
 
1864939.7%
 
050530356.7%
 

D19_GESAMT_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.071743148
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:51.487187image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.212714827
Coefficient of variation (CV)0.454303099
Kurtosis-1.051195891
Mean7.071743148
Median Absolute Deviation (MAD)1
Skewness-0.6616137514
Sum6302486
Variance10.32153656
MonotocityNot monotonic
2020-11-30T23:53:51.571167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1035417039.7%
 
99828111.0%
 
59374010.5%
 
1760098.5%
 
2597746.7%
 
8528525.9%
 
4440314.9%
 
6420084.7%
 
7374864.2%
 
3328703.7%
 
ValueCountFrequency (%) 
1760098.5%
 
2597746.7%
 
3328703.7%
 
4440314.9%
 
59374010.5%
 
6420084.7%
 
7374864.2%
 
8528525.9%
 
99828111.0%
 
1035417039.7%
 
ValueCountFrequency (%) 
1035417039.7%
 
99828111.0%
 
8528525.9%
 
7374864.2%
 
6420084.7%
 
59374010.5%
 
4440314.9%
 
3328703.7%
 
2597746.7%
 
1760098.5%
 

D19_GESAMT_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.034676023
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:51.658232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.768926187
Coefficient of variation (CV)0.195792985
Kurtosis5.521696248
Mean9.034676023
Median Absolute Deviation (MAD)0
Skewness-2.355357653
Sum8051893
Variance3.129099854
MonotocityNot monotonic
2020-11-30T23:53:51.735881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1055855862.7%
 
914745616.5%
 
8693827.8%
 
5348273.9%
 
7277843.1%
 
6227172.5%
 
495471.1%
 
291881.0%
 
163110.7%
 
354510.6%
 
ValueCountFrequency (%) 
163110.7%
 
291881.0%
 
354510.6%
 
495471.1%
 
5348273.9%
 
6227172.5%
 
7277843.1%
 
8693827.8%
 
914745616.5%
 
1055855862.7%
 
ValueCountFrequency (%) 
1055855862.7%
 
914745616.5%
 
8693827.8%
 
7277843.1%
 
6227172.5%
 
5348273.9%
 
495471.1%
 
354510.6%
 
291881.0%
 
163110.7%
 

D19_GESAMT_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.680381185
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:51.819050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.039866847
Coefficient of variation (CV)0.3957963509
Kurtosis-0.4469555651
Mean7.680381185
Median Absolute Deviation (MAD)0
Skewness-1.001717247
Sum6844917
Variance9.240790446
MonotocityNot monotonic
2020-11-30T23:53:51.895982image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1045099550.6%
 
9861189.7%
 
5797739.0%
 
1573316.4%
 
8426284.8%
 
2413914.6%
 
6369954.2%
 
4362274.1%
 
7334343.8%
 
3263293.0%
 
ValueCountFrequency (%) 
1573316.4%
 
2413914.6%
 
3263293.0%
 
4362274.1%
 
5797739.0%
 
6369954.2%
 
7334343.8%
 
8426284.8%
 
9861189.7%
 
1045099550.6%
 
ValueCountFrequency (%) 
1045099550.6%
 
9861189.7%
 
8426284.8%
 
7334343.8%
 
6369954.2%
 
5797739.0%
 
4362274.1%
 
3263293.0%
 
2413914.6%
 
1573316.4%
 

D19_GESAMT_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean3.560951762
Minimum0
Maximum10
Zeros393075
Zeros (%)44.1%
Memory size6.8 MiB
2020-11-30T23:53:51.979670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.658537684
Coefficient of variation (CV)1.308228248
Kurtosis-1.603932033
Mean3.560951762
Median Absolute Deviation (MAD)0
Skewness0.5886854726
Sum2258028
Variance21.70197335
MonotocityNot monotonic
2020-11-30T23:53:52.078736image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
039307544.1%
 
1019990622.4%
 
5105171.2%
 
894671.1%
 
769230.8%
 
960460.7%
 
335430.4%
 
616790.2%
 
210660.1%
 
410170.1%
 
18690.1%
 
(Missing)25711328.8%
 
ValueCountFrequency (%) 
039307544.1%
 
18690.1%
 
210660.1%
 
335430.4%
 
410170.1%
 
5105171.2%
 
616790.2%
 
769230.8%
 
894671.1%
 
960460.7%
 
ValueCountFrequency (%) 
1019990622.4%
 
960460.7%
 
894671.1%
 
769230.8%
 
616790.2%
 
5105171.2%
 
410170.1%
 
335430.4%
 
210660.1%
 
18690.1%
 

D19_HANDWERK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8419942977
Minimum0
Maximum7
Zeros768381
Zeros (%)86.2%
Memory size6.8 MiB
2020-11-30T23:53:52.165863image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.119703265
Coefficient of variation (CV)2.517479359
Kurtosis2.691117597
Mean0.8419942977
Median Absolute Deviation (MAD)0
Skewness2.149109132
Sum750403
Variance4.493141932
MonotocityNot monotonic
2020-11-30T23:53:52.248832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
076838186.2%
 
69096810.2%
 
7253192.8%
 
538100.4%
 
324650.3%
 
4184< 0.1%
 
287< 0.1%
 
17< 0.1%
 
ValueCountFrequency (%) 
076838186.2%
 
17< 0.1%
 
287< 0.1%
 
324650.3%
 
4184< 0.1%
 
538100.4%
 
69096810.2%
 
7253192.8%
 
ValueCountFrequency (%) 
7253192.8%
 
69096810.2%
 
538100.4%
 
4184< 0.1%
 
324650.3%
 
287< 0.1%
 
17< 0.1%
 
076838186.2%
 

D19_HAUS_DEKO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.017851913
Minimum0
Maximum7
Zeros713100
Zeros (%)80.0%
Memory size6.8 MiB
2020-11-30T23:53:52.338373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.144350331
Coefficient of variation (CV)2.106740974
Kurtosis1.350673895
Mean1.017851913
Median Absolute Deviation (MAD)0
Skewness1.770905762
Sum907131
Variance4.598238343
MonotocityNot monotonic
2020-11-30T23:53:52.424149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
071310080.0%
 
610072011.3%
 
3310243.5%
 
5207482.3%
 
7102781.2%
 
274760.8%
 
141330.5%
 
437420.4%
 
ValueCountFrequency (%) 
071310080.0%
 
141330.5%
 
274760.8%
 
3310243.5%
 
437420.4%
 
5207482.3%
 
610072011.3%
 
7102781.2%
 
ValueCountFrequency (%) 
7102781.2%
 
610072011.3%
 
5207482.3%
 
437420.4%
 
3310243.5%
 
274760.8%
 
141330.5%
 
071310080.0%
 

D19_KINDERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8706572219
Minimum0
Maximum7
Zeros749365
Zeros (%)84.1%
Memory size6.8 MiB
2020-11-30T23:53:52.513998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.077302903
Coefficient of variation (CV)2.38590211
Kurtosis2.530702709
Mean0.8706572219
Median Absolute Deviation (MAD)0
Skewness2.080699659
Sum775948
Variance4.31518735
MonotocityNot monotonic
2020-11-30T23:53:52.602613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
074936584.1%
 
6793208.9%
 
7225972.5%
 
3164021.8%
 
5133981.5%
 
258420.7%
 
432240.4%
 
110730.1%
 
ValueCountFrequency (%) 
074936584.1%
 
110730.1%
 
258420.7%
 
3164021.8%
 
432240.4%
 
5133981.5%
 
6793208.9%
 
7225972.5%
 
ValueCountFrequency (%) 
7225972.5%
 
6793208.9%
 
5133981.5%
 
432240.4%
 
3164021.8%
 
258420.7%
 
110730.1%
 
074936584.1%
 

D19_KONSUMTYP
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean5.424539668
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:52.703503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.234275463
Coefficient of variation (CV)0.5962304012
Kurtosis-1.620701327
Mean5.424539668
Median Absolute Deviation (MAD)4
Skewness-0.07216050728
Sum3439744
Variance10.46053777
MonotocityNot monotonic
2020-11-30T23:53:52.785500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
925429628.5%
 
111791213.2%
 
4782628.8%
 
6565626.3%
 
3533306.0%
 
2493245.5%
 
5244222.7%
 
(Missing)25711328.8%
 
ValueCountFrequency (%) 
111791213.2%
 
2493245.5%
 
3533306.0%
 
4782628.8%
 
5244222.7%
 
6565626.3%
 
925429628.5%
 
ValueCountFrequency (%) 
925429628.5%
 
6565626.3%
 
5244222.7%
 
4782628.8%
 
3533306.0%
 
2493245.5%
 
111791213.2%
 

D19_KONSUMTYP_MAX
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.849228194
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:52.874806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median8
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.225761975
Coefficient of variation (CV)0.5514850623
Kurtosis-1.591701794
Mean5.849228194
Median Absolute Deviation (MAD)1
Skewness-0.4339861885
Sum5212955
Variance10.40554032
MonotocityNot monotonic
2020-11-30T23:53:52.956726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
826028529.2%
 
925711328.8%
 
114457016.2%
 
29142310.3%
 
4757528.5%
 
3620787.0%
 
ValueCountFrequency (%) 
114457016.2%
 
29142310.3%
 
3620787.0%
 
4757528.5%
 
826028529.2%
 
925711328.8%
 
ValueCountFrequency (%) 
925711328.8%
 
826028529.2%
 
4757528.5%
 
3620787.0%
 
29142310.3%
 
114457016.2%
 

D19_KOSMETIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0301014
Minimum0
Maximum7
Zeros745836
Zeros (%)83.7%
Memory size6.8 MiB
2020-11-30T23:53:53.045023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.347222584
Coefficient of variation (CV)2.278632554
Kurtosis1.541369181
Mean1.0301014
Median Absolute Deviation (MAD)0
Skewness1.86526696
Sum918048
Variance5.509453861
MonotocityNot monotonic
2020-11-30T23:53:53.127019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
074583683.7%
 
68935310.0%
 
7528585.9%
 
512920.1%
 
312630.1%
 
4269< 0.1%
 
2249< 0.1%
 
1101< 0.1%
 
ValueCountFrequency (%) 
074583683.7%
 
1101< 0.1%
 
2249< 0.1%
 
312630.1%
 
4269< 0.1%
 
512920.1%
 
68935310.0%
 
7528585.9%
 
ValueCountFrequency (%) 
7528585.9%
 
68935310.0%
 
512920.1%
 
4269< 0.1%
 
312630.1%
 
2249< 0.1%
 
1101< 0.1%
 
074583683.7%
 

D19_LEBENSMITTEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3195245624
Minimum0
Maximum7
Zeros837914
Zeros (%)94.0%
Memory size6.8 MiB
2020-11-30T23:53:53.215641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.316089627
Coefficient of variation (CV)4.118899709
Kurtosis15.11640273
Mean0.3195245624
Median Absolute Deviation (MAD)0
Skewness4.070427464
Sum284767
Variance1.732091907
MonotocityNot monotonic
2020-11-30T23:53:53.299498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
083791494.0%
 
6276263.1%
 
3100441.1%
 
783180.9%
 
551980.6%
 
213150.1%
 
4409< 0.1%
 
1397< 0.1%
 
ValueCountFrequency (%) 
083791494.0%
 
1397< 0.1%
 
213150.1%
 
3100441.1%
 
4409< 0.1%
 
551980.6%
 
6276263.1%
 
783180.9%
 
ValueCountFrequency (%) 
783180.9%
 
6276263.1%
 
551980.6%
 
4409< 0.1%
 
3100441.1%
 
213150.1%
 
1397< 0.1%
 
083791494.0%
 

D19_LETZTER_KAUF_BRANCHE
Categorical

MISSING

Distinct35
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Memory size6.8 MiB
D19_UNBEKANNT
195338 
D19_VERSICHERUNGEN
57734 
D19_SONSTIGE
44722 
D19_VOLLSORTIMENT
34812 
D19_SCHUHE
32578 
Other values (30)
268924 
ValueCountFrequency (%) 
D19_UNBEKANNT19533821.9%
 
D19_VERSICHERUNGEN577346.5%
 
D19_SONSTIGE447225.0%
 
D19_VOLLSORTIMENT348123.9%
 
D19_SCHUHE325783.7%
 
D19_BUCH_CD287543.2%
 
D19_VERSAND_REST260342.9%
 
D19_DROGERIEARTIKEL240722.7%
 
D19_BANKEN_DIREKT232732.6%
 
D19_BEKLEIDUNG_REST217962.4%
 
D19_HAUS_DEKO208582.3%
 
D19_TELKO_MOBILE144471.6%
 
D19_ENERGIE120841.4%
 
D19_TELKO_REST114721.3%
 
D19_BANKEN_GROSS105501.2%
 
D19_BEKLEIDUNG_GEH102721.2%
 
D19_KINDERARTIKEL73010.8%
 
D19_FREIZEIT72570.8%
 
D19_TECHNIK70020.8%
 
D19_LEBENSMITTEL64580.7%
 
D19_BANKEN_REST52470.6%
 
D19_RATGEBER49310.6%
 
D19_NAHRUNGSERGAENZUNG40610.5%
 
D19_DIGIT_SERV35770.4%
 
D19_REISEN31220.4%
 
Other values (10)163561.8%
 
(Missing)25711328.8%
 
2020-11-30T23:53:53.423914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
E9826979.9%
 
N9815349.9%
 
_8152268.3%
 
D8032528.1%
 
16341086.4%
 
96341086.4%
 
n5142265.2%
 
T5043735.1%
 
R4170004.2%
 
K3973404.0%
 
U3764323.8%
 
S3697393.7%
 
A3399473.4%
 
I3350803.4%
 
B3247203.3%
 
a2571132.6%
 
O2199772.2%
 
G2148192.2%
 
L1985142.0%
 
H1960642.0%
 
C1548221.6%
 
V1221571.2%
 
M614080.6%
 
Z113180.1%
 
F94210.1%
 

Most occurring categories

ValueCountFrequency (%) 
Uppercase Letter702500571.1%
 
Decimal Number126821612.8%
 
Connector Punctuation8152268.3%
 
Lowercase Letter7713397.8%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n51422666.7%
 
a25711333.3%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
E98269714.0%
 
N98153414.0%
 
D80325211.4%
 
T5043737.2%
 
R4170005.9%
 
K3973405.7%
 
U3764325.4%
 
S3697395.3%
 
A3399474.8%
 
I3350804.8%
 
B3247204.6%
 
O2199773.1%
 
G2148193.1%
 
L1985142.8%
 
H1960642.8%
 
C1548222.2%
 
V1221571.7%
 
M614080.9%
 
Z113180.2%
 
F94210.1%
 
W43910.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
163410850.0%
 
963410850.0%
 

Most frequent Connector Punctuation characters

ValueCountFrequency (%) 
_815226100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin779634478.9%
 
Common208344221.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
E98269712.6%
 
N98153412.6%
 
D80325210.3%
 
n5142266.6%
 
T5043736.5%
 
R4170005.3%
 
K3973405.1%
 
U3764324.8%
 
S3697394.7%
 
A3399474.4%
 
I3350804.3%
 
B3247204.2%
 
a2571133.3%
 
O2199772.8%
 
G2148192.8%
 
L1985142.5%
 
H1960642.5%
 
C1548222.0%
 
V1221571.6%
 
M614080.8%
 
Z113180.1%
 
F94210.1%
 
W43910.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
_81522639.1%
 
163410830.4%
 
963410830.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII9879786100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
E9826979.9%
 
N9815349.9%
 
_8152268.3%
 
D8032528.1%
 
16341086.4%
 
96341086.4%
 
n5142265.2%
 
T5043735.1%
 
R4170004.2%
 
K3973404.0%
 
U3764323.8%
 
S3697393.7%
 
A3399473.4%
 
I3350803.4%
 
B3247203.3%
 
a2571132.6%
 
O2199772.2%
 
G2148192.2%
 
L1985142.0%
 
H1960642.0%
 
C1548221.6%
 
V1221571.2%
 
M614080.6%
 
Z113180.1%
 
F94210.1%
 

D19_LOTTO
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean1.521732891
Minimum0
Maximum7
Zeros490843
Zeros (%)55.1%
Memory size6.8 MiB
2020-11-30T23:53:53.526415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.832520981
Coefficient of variation (CV)1.861378563
Kurtosis-0.1702684246
Mean1.521732891
Median Absolute Deviation (MAD)0
Skewness1.341508541
Sum964943
Variance8.023175109
MonotocityNot monotonic
2020-11-30T23:53:53.610869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
049084355.1%
 
711348612.7%
 
6257362.9%
 
520110.2%
 
318690.2%
 
478< 0.1%
 
266< 0.1%
 
119< 0.1%
 
(Missing)25711328.8%
 
ValueCountFrequency (%) 
049084355.1%
 
119< 0.1%
 
266< 0.1%
 
318690.2%
 
478< 0.1%
 
520110.2%
 
6257362.9%
 
711348612.7%
 
ValueCountFrequency (%) 
711348612.7%
 
6257362.9%
 
520110.2%
 
478< 0.1%
 
318690.2%
 
266< 0.1%
 
119< 0.1%
 
049084355.1%
 

D19_NAHRUNGSERGAENZUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2445240855
Minimum0
Maximum7
Zeros852176
Zeros (%)95.6%
Memory size6.8 MiB
2020-11-30T23:53:53.695742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.184654187
Coefficient of variation (CV)4.84473415
Kurtosis22.0998643
Mean0.2445240855
Median Absolute Deviation (MAD)0
Skewness4.841231013
Sum217925
Variance1.403405544
MonotocityNot monotonic
2020-11-30T23:53:53.779326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
085217695.6%
 
6157781.8%
 
7115961.3%
 
357680.6%
 
542430.5%
 
26790.1%
 
15720.1%
 
4409< 0.1%
 
ValueCountFrequency (%) 
085217695.6%
 
15720.1%
 
26790.1%
 
357680.6%
 
4409< 0.1%
 
542430.5%
 
6157781.8%
 
7115961.3%
 
ValueCountFrequency (%) 
7115961.3%
 
6157781.8%
 
542430.5%
 
4409< 0.1%
 
357680.6%
 
26790.1%
 
15720.1%
 
085217695.6%
 

D19_RATGEBER
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5028303866
Minimum0
Maximum7
Zeros805071
Zeros (%)90.3%
Memory size6.8 MiB
2020-11-30T23:53:53.871006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.616870573
Coefficient of variation (CV)3.215538711
Kurtosis7.916111676
Mean0.5028303866
Median Absolute Deviation (MAD)0
Skewness3.088104446
Sum448133
Variance2.61427045
MonotocityNot monotonic
2020-11-30T23:53:53.957188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
080507190.3%
 
6447075.0%
 
7122871.4%
 
3105981.2%
 
283340.9%
 
571970.8%
 
421360.2%
 
18910.1%
 
ValueCountFrequency (%) 
080507190.3%
 
18910.1%
 
283340.9%
 
3105981.2%
 
421360.2%
 
571970.8%
 
6447075.0%
 
7122871.4%
 
ValueCountFrequency (%) 
7122871.4%
 
6447075.0%
 
571970.8%
 
421360.2%
 
3105981.2%
 
283340.9%
 
18910.1%
 
080507190.3%
 

D19_REISEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.048627669
Minimum0
Maximum7
Zeros736924
Zeros (%)82.7%
Memory size6.8 MiB
2020-11-30T23:53:54.062936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.329346976
Coefficient of variation (CV)2.221328928
Kurtosis1.410457606
Mean1.048627669
Median Absolute Deviation (MAD)0
Skewness1.82118668
Sum934559
Variance5.425857335
MonotocityNot monotonic
2020-11-30T23:53:54.148974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
073692482.7%
 
69412310.6%
 
7453155.1%
 
357580.6%
 
551490.6%
 
229750.3%
 
48900.1%
 
187< 0.1%
 
ValueCountFrequency (%) 
073692482.7%
 
187< 0.1%
 
229750.3%
 
357580.6%
 
48900.1%
 
551490.6%
 
69412310.6%
 
7453155.1%
 
ValueCountFrequency (%) 
7453155.1%
 
69412310.6%
 
551490.6%
 
48900.1%
 
357580.6%
 
229750.3%
 
187< 0.1%
 
073692482.7%
 

D19_SAMMELARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5946056029
Minimum0
Maximum7
Zeros802085
Zeros (%)90.0%
Memory size6.8 MiB
2020-11-30T23:53:54.241785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.798291114
Coefficient of variation (CV)3.024342699
Kurtosis5.541964347
Mean0.5946056029
Median Absolute Deviation (MAD)0
Skewness2.729534579
Sum529925
Variance3.23385093
MonotocityNot monotonic
2020-11-30T23:53:54.324371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
080208590.0%
 
6712978.0%
 
7100671.1%
 
540720.5%
 
330160.3%
 
44700.1%
 
2172< 0.1%
 
142< 0.1%
 
ValueCountFrequency (%) 
080208590.0%
 
142< 0.1%
 
2172< 0.1%
 
330160.3%
 
44700.1%
 
540720.5%
 
6712978.0%
 
7100671.1%
 
ValueCountFrequency (%) 
7100671.1%
 
6712978.0%
 
540720.5%
 
44700.1%
 
330160.3%
 
2172< 0.1%
 
142< 0.1%
 
080208590.0%
 

D19_SCHUHE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5108183043
Minimum0
Maximum7
Zeros773024
Zeros (%)86.7%
Memory size6.8 MiB
2020-11-30T23:53:54.414779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.433293004
Coefficient of variation (CV)2.80587636
Kurtosis7.427577596
Mean0.5108183043
Median Absolute Deviation (MAD)0
Skewness2.88407437
Sum455252
Variance2.054328836
MonotocityNot monotonic
2020-11-30T23:53:54.501535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
077302486.7%
 
3464875.2%
 
6205892.3%
 
5199472.2%
 
2170711.9%
 
756320.6%
 
149760.6%
 
434950.4%
 
ValueCountFrequency (%) 
077302486.7%
 
149760.6%
 
2170711.9%
 
3464875.2%
 
434950.4%
 
5199472.2%
 
6205892.3%
 
756320.6%
 
ValueCountFrequency (%) 
756320.6%
 
6205892.3%
 
5199472.2%
 
434950.4%
 
3464875.2%
 
2170711.9%
 
149760.6%
 
077302486.7%
 

D19_SONSTIGE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.365958612
Minimum0
Maximum7
Zeros505953
Zeros (%)56.8%
Memory size6.8 MiB
2020-11-30T23:53:54.591819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.861577014
Coefficient of variation (CV)1.209478898
Kurtosis-1.610906026
Mean2.365958612
Median Absolute Deviation (MAD)0
Skewness0.4965648036
Sum2108592
Variance8.18862301
MonotocityNot monotonic
2020-11-30T23:53:54.670422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
050595356.8%
 
622047824.7%
 
7583736.5%
 
3445785.0%
 
5350283.9%
 
2108161.2%
 
4102041.1%
 
157910.6%
 
ValueCountFrequency (%) 
050595356.8%
 
157910.6%
 
2108161.2%
 
3445785.0%
 
4102041.1%
 
5350283.9%
 
622047824.7%
 
7583736.5%
 
ValueCountFrequency (%) 
7583736.5%
 
622047824.7%
 
5350283.9%
 
4102041.1%
 
3445785.0%
 
2108161.2%
 
157910.6%
 
050595356.8%
 

D19_SOZIALES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.657908432
Minimum0
Maximum5
Zeros505828
Zeros (%)56.8%
Memory size6.8 MiB
2020-11-30T23:53:54.752493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.457773725
Coefficient of variation (CV)2.215769938
Kurtosis2.641717346
Mean0.657908432
Median Absolute Deviation (MAD)0
Skewness2.047175557
Sum417185
Variance2.125104234
MonotocityNot monotonic
2020-11-30T23:53:54.833517image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
050582856.8%
 
4365144.1%
 
5304143.4%
 
1251282.8%
 
3214832.4%
 
2147411.7%
 
(Missing)25711328.8%
 
ValueCountFrequency (%) 
050582856.8%
 
1251282.8%
 
2147411.7%
 
3214832.4%
 
4365144.1%
 
5304143.4%
 
ValueCountFrequency (%) 
5304143.4%
 
4365144.1%
 
3214832.4%
 
2147411.7%
 
1251282.8%
 
050582856.8%
 

D19_TECHNIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.738563162
Minimum0
Maximum7
Zeros630101
Zeros (%)70.7%
Memory size6.8 MiB
2020-11-30T23:53:54.915758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.740416536
Coefficient of variation (CV)1.576253653
Kurtosis-0.9707793303
Mean1.738563162
Median Absolute Deviation (MAD)0
Skewness0.9818040267
Sum1549444
Variance7.50988279
MonotocityNot monotonic
2020-11-30T23:53:54.996326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
063010170.7%
 
619097921.4%
 
7411744.6%
 
5143891.6%
 
3110641.2%
 
418460.2%
 
211630.1%
 
15050.1%
 
ValueCountFrequency (%) 
063010170.7%
 
15050.1%
 
211630.1%
 
3110641.2%
 
418460.2%
 
5143891.6%
 
619097921.4%
 
7411744.6%
 
ValueCountFrequency (%) 
7411744.6%
 
619097921.4%
 
5143891.6%
 
418460.2%
 
3110641.2%
 
211630.1%
 
15050.1%
 
063010170.7%
 

D19_TELKO_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04905629468
Minimum0
Maximum6
Zeros857990
Zeros (%)96.3%
Memory size6.8 MiB
2020-11-30T23:53:55.358704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2775520519
Coefficient of variation (CV)5.657827475
Kurtosis71.00257978
Mean0.04905629468
Median Absolute Deviation (MAD)0
Skewness7.350416418
Sum43720
Variance0.07703514149
MonotocityNot monotonic
2020-11-30T23:53:55.433699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
085799096.3%
 
1248682.8%
 
269540.8%
 
38650.1%
 
4406< 0.1%
 
5103< 0.1%
 
635< 0.1%
 
ValueCountFrequency (%) 
085799096.3%
 
1248682.8%
 
269540.8%
 
38650.1%
 
4406< 0.1%
 
5103< 0.1%
 
635< 0.1%
 
ValueCountFrequency (%) 
635< 0.1%
 
5103< 0.1%
 
4406< 0.1%
 
38650.1%
 
269540.8%
 
1248682.8%
 
085799096.3%
 

D19_TELKO_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09880377594
Minimum0
Maximum6
Zeros826208
Zeros (%)92.7%
Memory size6.8 MiB
2020-11-30T23:53:55.514488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3935872808
Coefficient of variation (CV)3.983524688
Kurtosis32.13673667
Mean0.09880377594
Median Absolute Deviation (MAD)0
Skewness5.029072305
Sum88056
Variance0.1549109476
MonotocityNot monotonic
2020-11-30T23:53:55.594146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
082620892.7%
 
1465205.2%
 
2153431.7%
 
320550.2%
 
48440.1%
 
5197< 0.1%
 
654< 0.1%
 
ValueCountFrequency (%) 
082620892.7%
 
1465205.2%
 
2153431.7%
 
320550.2%
 
48440.1%
 
5197< 0.1%
 
654< 0.1%
 
ValueCountFrequency (%) 
654< 0.1%
 
5197< 0.1%
 
48440.1%
 
320550.2%
 
2153431.7%
 
1465205.2%
 
082620892.7%
 

D19_TELKO_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.428727555
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:55.684302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q19
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.34428937
Coefficient of variation (CV)0.1425737845
Kurtosis11.88464681
Mean9.428727555
Median Absolute Deviation (MAD)0
Skewness-3.248079154
Sum8403080
Variance1.807113911
MonotocityNot monotonic
2020-11-30T23:53:55.762772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1066579874.7%
 
911795013.2%
 
8424604.8%
 
5194922.2%
 
7181632.0%
 
6136191.5%
 
453140.6%
 
130790.3%
 
228180.3%
 
325280.3%
 
ValueCountFrequency (%) 
130790.3%
 
228180.3%
 
325280.3%
 
453140.6%
 
5194922.2%
 
6136191.5%
 
7181632.0%
 
8424604.8%
 
911795013.2%
 
1066579874.7%
 
ValueCountFrequency (%) 
1066579874.7%
 
911795013.2%
 
8424604.8%
 
7181632.0%
 
6136191.5%
 
5194922.2%
 
453140.6%
 
325280.3%
 
228180.3%
 
130790.3%
 

D19_TELKO_MOBILE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.009936929
Minimum0
Maximum7
Zeros726804
Zeros (%)81.6%
Memory size6.8 MiB
2020-11-30T23:53:55.843674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.18710219
Coefficient of variation (CV)2.165582946
Kurtosis1.300496888
Mean1.009936929
Median Absolute Deviation (MAD)0
Skewness1.782552536
Sum900077
Variance4.78341599
MonotocityNot monotonic
2020-11-30T23:53:55.928538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
072680481.6%
 
611643313.1%
 
3164291.8%
 
5142571.6%
 
782220.9%
 
435730.4%
 
235580.4%
 
119450.2%
 
ValueCountFrequency (%) 
072680481.6%
 
119450.2%
 
235580.4%
 
3164291.8%
 
435730.4%
 
5142571.6%
 
611643313.1%
 
782220.9%
 
ValueCountFrequency (%) 
782220.9%
 
611643313.1%
 
5142571.6%
 
435730.4%
 
3164291.8%
 
235580.4%
 
119450.2%
 
072680481.6%
 

D19_TELKO_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.828039285
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:56.023118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7458518099
Coefficient of variation (CV)0.07589019419
Kurtosis45.54768099
Mean9.828039285
Median Absolute Deviation (MAD)0
Skewness-6.138606915
Sum8758955
Variance0.5562949223
MonotocityNot monotonic
2020-11-30T23:53:56.105102image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1081911491.9%
 
9367074.1%
 
8186202.1%
 
563090.7%
 
639710.4%
 
735900.4%
 
411690.1%
 
16820.1%
 
25440.1%
 
35150.1%
 
ValueCountFrequency (%) 
16820.1%
 
25440.1%
 
35150.1%
 
411690.1%
 
563090.7%
 
639710.4%
 
735900.4%
 
8186202.1%
 
9367074.1%
 
1081911491.9%
 
ValueCountFrequency (%) 
1081911491.9%
 
9367074.1%
 
8186202.1%
 
735900.4%
 
639710.4%
 
563090.7%
 
411690.1%
 
35150.1%
 
25440.1%
 
16820.1%
 

D19_TELKO_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.981780052
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:56.192997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2410353717
Coefficient of variation (CV)0.02414753385
Kurtosis470.1718655
Mean9.981780052
Median Absolute Deviation (MAD)0
Skewness-19.38108225
Sum8895972
Variance0.05809805041
MonotocityNot monotonic
2020-11-30T23:53:56.268882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1088301899.1%
 
946640.5%
 
817280.2%
 
75660.1%
 
54960.1%
 
64570.1%
 
4114< 0.1%
 
168< 0.1%
 
364< 0.1%
 
246< 0.1%
 
ValueCountFrequency (%) 
168< 0.1%
 
246< 0.1%
 
364< 0.1%
 
4114< 0.1%
 
54960.1%
 
64570.1%
 
75660.1%
 
817280.2%
 
946640.5%
 
1088301899.1%
 
ValueCountFrequency (%) 
1088301899.1%
 
946640.5%
 
817280.2%
 
75660.1%
 
64570.1%
 
54960.1%
 
4114< 0.1%
 
364< 0.1%
 
246< 0.1%
 
168< 0.1%
 

D19_TELKO_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.01226131826
Minimum0
Maximum10
Zeros633320
Zeros (%)71.1%
Memory size6.8 MiB
2020-11-30T23:53:56.347776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3487803263
Coefficient of variation (CV)28.44558137
Kurtosis811.9035815
Mean0.01226131826
Median Absolute Deviation (MAD)0
Skewness28.50527578
Sum7775
Variance0.121647716
MonotocityNot monotonic
2020-11-30T23:53:56.430204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
063332071.1%
 
107670.1%
 
519< 0.1%
 
71< 0.1%
 
31< 0.1%
 
(Missing)25711328.8%
 
ValueCountFrequency (%) 
063332071.1%
 
31< 0.1%
 
519< 0.1%
 
71< 0.1%
 
107670.1%
 
ValueCountFrequency (%) 
107670.1%
 
71< 0.1%
 
519< 0.1%
 
31< 0.1%
 
063332071.1%
 

D19_TELKO_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7799962075
Minimum0
Maximum7
Zeros765973
Zeros (%)85.9%
Memory size6.8 MiB
2020-11-30T23:53:56.511647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.969723658
Coefficient of variation (CV)2.525299019
Kurtosis2.971448125
Mean0.7799962075
Median Absolute Deviation (MAD)0
Skewness2.199683327
Sum695149
Variance3.879811288
MonotocityNot monotonic
2020-11-30T23:53:56.594850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
076597385.9%
 
6883469.9%
 
5153011.7%
 
3114671.3%
 
759050.7%
 
424020.3%
 
213970.2%
 
1430< 0.1%
 
ValueCountFrequency (%) 
076597385.9%
 
1430< 0.1%
 
213970.2%
 
3114671.3%
 
424020.3%
 
5153011.7%
 
6883469.9%
 
759050.7%
 
ValueCountFrequency (%) 
759050.7%
 
6883469.9%
 
5153011.7%
 
424020.3%
 
3114671.3%
 
213970.2%
 
1430< 0.1%
 
076597385.9%
 

D19_TIERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2431776181
Minimum0
Maximum7
Zeros852220
Zeros (%)95.6%
Memory size6.8 MiB
2020-11-30T23:53:56.685441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.170808787
Coefficient of variation (CV)4.814623963
Kurtosis21.54744599
Mean0.2431776181
Median Absolute Deviation (MAD)0
Skewness4.788953418
Sum216725
Variance1.370793217
MonotocityNot monotonic
2020-11-30T23:53:56.768246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
085222095.6%
 
6201682.3%
 
779450.9%
 
360300.7%
 
538090.4%
 
25530.1%
 
44550.1%
 
141< 0.1%
 
ValueCountFrequency (%) 
085222095.6%
 
141< 0.1%
 
25530.1%
 
360300.7%
 
44550.1%
 
538090.4%
 
6201682.3%
 
779450.9%
 
ValueCountFrequency (%) 
779450.9%
 
6201682.3%
 
538090.4%
 
44550.1%
 
360300.7%
 
25530.1%
 
141< 0.1%
 
085222095.6%
 

D19_VERSAND_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6046457613
Minimum0
Maximum6
Zeros637972
Zeros (%)71.6%
Memory size6.8 MiB
2020-11-30T23:53:56.857774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.150455209
Coefficient of variation (CV)1.90269292
Kurtosis3.719617491
Mean0.6046457613
Median Absolute Deviation (MAD)0
Skewness2.062303928
Sum538873
Variance1.323547188
MonotocityNot monotonic
2020-11-30T23:53:56.937346image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
063797271.6%
 
19657710.8%
 
2816169.2%
 
3342583.8%
 
4293933.3%
 
597121.1%
 
616930.2%
 
ValueCountFrequency (%) 
063797271.6%
 
19657710.8%
 
2816169.2%
 
3342583.8%
 
4293933.3%
 
597121.1%
 
616930.2%
 
ValueCountFrequency (%) 
616930.2%
 
597121.1%
 
4293933.3%
 
3342583.8%
 
2816169.2%
 
19657710.8%
 
063797271.6%
 

D19_VERSAND_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9588676658
Minimum0
Maximum6
Zeros563818
Zeros (%)63.3%
Memory size6.8 MiB
2020-11-30T23:53:57.021495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.529453274
Coefficient of variation (CV)1.595061893
Kurtosis1.273680426
Mean0.9588676658
Median Absolute Deviation (MAD)0
Skewness1.530627127
Sum854563
Variance2.339227319
MonotocityNot monotonic
2020-11-30T23:53:57.098694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
056381863.3%
 
29366610.5%
 
19025310.1%
 
4550166.2%
 
3478325.4%
 
5303983.4%
 
6102381.1%
 
ValueCountFrequency (%) 
056381863.3%
 
19025310.1%
 
29366610.5%
 
3478325.4%
 
4550166.2%
 
5303983.4%
 
6102381.1%
 
ValueCountFrequency (%) 
6102381.1%
 
5303983.4%
 
4550166.2%
 
3478325.4%
 
29366610.5%
 
19025310.1%
 
056381863.3%
 

D19_VERSAND_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.717379864
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:57.184649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.989552188
Coefficient of variation (CV)0.3873791676
Kurtosis-0.339375028
Mean7.717379864
Median Absolute Deviation (MAD)1
Skewness-1.040115424
Sum6877891
Variance8.937422284
MonotocityNot monotonic
2020-11-30T23:53:57.260816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1043788649.1%
 
910084611.3%
 
5785898.8%
 
1539216.1%
 
8503325.6%
 
2409944.6%
 
6371254.2%
 
4341573.8%
 
7321043.6%
 
3252672.8%
 
ValueCountFrequency (%) 
1539216.1%
 
2409944.6%
 
3252672.8%
 
4341573.8%
 
5785898.8%
 
6371254.2%
 
7321043.6%
 
8503325.6%
 
910084611.3%
 
1043788649.1%
 
ValueCountFrequency (%) 
1043788649.1%
 
910084611.3%
 
8503325.6%
 
7321043.6%
 
6371254.2%
 
5785898.8%
 
4341573.8%
 
3252672.8%
 
2409944.6%
 
1539216.1%
 

D19_VERSAND_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.326817927
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:57.342502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q19
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.456007075
Coefficient of variation (CV)0.156109735
Kurtosis9.697407283
Mean9.326817927
Median Absolute Deviation (MAD)0
Skewness-2.960151515
Sum8312256
Variance2.119956602
MonotocityNot monotonic
2020-11-30T23:53:57.421410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1063423371.2%
 
912406313.9%
 
8579076.5%
 
5226912.5%
 
7198552.2%
 
6155431.7%
 
453630.6%
 
248450.5%
 
134500.4%
 
332710.4%
 
ValueCountFrequency (%) 
134500.4%
 
248450.5%
 
332710.4%
 
453630.6%
 
5226912.5%
 
6155431.7%
 
7198552.2%
 
8579076.5%
 
912406313.9%
 
1063423371.2%
 
ValueCountFrequency (%) 
1063423371.2%
 
912406313.9%
 
8579076.5%
 
7198552.2%
 
6155431.7%
 
5226912.5%
 
453630.6%
 
332710.4%
 
248450.5%
 
134500.4%
 

D19_VERSAND_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.942473303
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:57.505374image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.942631168
Coefficient of variation (CV)0.3704930511
Kurtosis-0.03562902018
Mean7.942473303
Median Absolute Deviation (MAD)0
Skewness-1.181770484
Sum7078499
Variance8.659078189
MonotocityNot monotonic
2020-11-30T23:53:57.582591image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1049446455.5%
 
9825419.3%
 
5707817.9%
 
1498135.6%
 
8383304.3%
 
2370144.2%
 
6341433.8%
 
4315253.5%
 
7294543.3%
 
3231562.6%
 
ValueCountFrequency (%) 
1498135.6%
 
2370144.2%
 
3231562.6%
 
4315253.5%
 
5707817.9%
 
6341433.8%
 
7294543.3%
 
8383304.3%
 
9825419.3%
 
1049446455.5%
 
ValueCountFrequency (%) 
1049446455.5%
 
9825419.3%
 
8383304.3%
 
7294543.3%
 
6341433.8%
 
5707817.9%
 
4315253.5%
 
3231562.6%
 
2370144.2%
 
1498135.6%
 

D19_VERSAND_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean3.244431548
Minimum0
Maximum10
Zeros417367
Zeros (%)46.8%
Memory size6.8 MiB
2020-11-30T23:53:57.667168image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.586604267
Coefficient of variation (CV)1.413685017
Kurtosis-1.411343211
Mean3.244431548
Median Absolute Deviation (MAD)0
Skewness0.7413724714
Sum2057320
Variance21.0369387
MonotocityNot monotonic
2020-11-30T23:53:57.760280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
041736746.8%
 
1018765221.1%
 
580340.9%
 
864190.7%
 
749200.6%
 
939310.4%
 
326530.3%
 
610800.1%
 
27510.1%
 
47390.1%
 
15620.1%
 
(Missing)25711328.8%
 
ValueCountFrequency (%) 
041736746.8%
 
15620.1%
 
27510.1%
 
326530.3%
 
47390.1%
 
580340.9%
 
610800.1%
 
749200.6%
 
864190.7%
 
939310.4%
 
ValueCountFrequency (%) 
1018765221.1%
 
939310.4%
 
864190.7%
 
749200.6%
 
610800.1%
 
580340.9%
 
47390.1%
 
326530.3%
 
27510.1%
 
15620.1%
 

D19_VERSAND_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.829549573
Minimum0
Maximum7
Zeros734442
Zeros (%)82.4%
Memory size6.8 MiB
2020-11-30T23:53:57.847599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.912499309
Coefficient of variation (CV)2.305467173
Kurtosis2.63734736
Mean0.829549573
Median Absolute Deviation (MAD)0
Skewness2.070417007
Sum739312
Variance3.657653605
MonotocityNot monotonic
2020-11-30T23:53:57.931770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
073444282.4%
 
6692487.8%
 
3392514.4%
 
5252272.8%
 
275600.8%
 
757700.6%
 
449010.5%
 
148220.5%
 
ValueCountFrequency (%) 
073444282.4%
 
148220.5%
 
275600.8%
 
3392514.4%
 
449010.5%
 
5252272.8%
 
6692487.8%
 
757700.6%
 
ValueCountFrequency (%) 
757700.6%
 
6692487.8%
 
5252272.8%
 
449010.5%
 
3392514.4%
 
275600.8%
 
148220.5%
 
073444282.4%
 

D19_VERSI_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1135969642
Minimum0
Maximum6
Zeros821289
Zeros (%)92.2%
Memory size6.8 MiB
2020-11-30T23:53:58.021417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4348766063
Coefficient of variation (CV)3.828241445
Kurtosis25.30603907
Mean0.1135969642
Median Absolute Deviation (MAD)0
Skewness4.631649786
Sum101240
Variance0.1891176627
MonotocityNot monotonic
2020-11-30T23:53:58.102777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
082128992.2%
 
1449335.0%
 
2202732.3%
 
333350.4%
 
412100.1%
 
5170< 0.1%
 
611< 0.1%
 
ValueCountFrequency (%) 
082128992.2%
 
1449335.0%
 
2202732.3%
 
333350.4%
 
412100.1%
 
5170< 0.1%
 
611< 0.1%
 
ValueCountFrequency (%) 
611< 0.1%
 
5170< 0.1%
 
412100.1%
 
333350.4%
 
2202732.3%
 
1449335.0%
 
082128992.2%
 

D19_VERSI_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2069980398
Minimum0
Maximum6
Zeros777037
Zeros (%)87.2%
Memory size6.8 MiB
2020-11-30T23:53:58.189032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6170164979
Coefficient of variation (CV)2.980784256
Kurtosis14.56588033
Mean0.2069980398
Median Absolute Deviation (MAD)0
Skewness3.578597394
Sum184481
Variance0.3807093587
MonotocityNot monotonic
2020-11-30T23:53:58.270076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
077703787.2%
 
1633407.1%
 
2371444.2%
 
388481.0%
 
440480.5%
 
57070.1%
 
697< 0.1%
 
ValueCountFrequency (%) 
077703787.2%
 
1633407.1%
 
2371444.2%
 
388481.0%
 
440480.5%
 
57070.1%
 
697< 0.1%
 
ValueCountFrequency (%) 
697< 0.1%
 
57070.1%
 
440480.5%
 
388481.0%
 
2371444.2%
 
1633407.1%
 
077703787.2%
 

D19_VERSI_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.142562844
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:58.360716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.911185722
Coefficient of variation (CV)0.2090426672
Kurtosis6.061957322
Mean9.142562844
Median Absolute Deviation (MAD)0
Skewness-2.571540321
Sum8148044
Variance3.652630863
MonotocityNot monotonic
2020-11-30T23:53:58.440250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1066047874.1%
 
9802319.0%
 
8363284.1%
 
5290403.3%
 
6232362.6%
 
7210162.4%
 
2159161.8%
 
495931.1%
 
187601.0%
 
366230.7%
 
ValueCountFrequency (%) 
187601.0%
 
2159161.8%
 
366230.7%
 
495931.1%
 
5290403.3%
 
6232362.6%
 
7210162.4%
 
8363284.1%
 
9802319.0%
 
1066047874.1%
 
ValueCountFrequency (%) 
1066047874.1%
 
9802319.0%
 
8363284.1%
 
7210162.4%
 
6232362.6%
 
5290403.3%
 
495931.1%
 
366230.7%
 
2159161.8%
 
187601.0%
 

D19_VERSI_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.922648816
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:58.524910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5026652349
Coefficient of variation (CV)0.050658372
Kurtosis97.48171996
Mean9.922648816
Median Absolute Deviation (MAD)0
Skewness-9.035337778
Sum8843273
Variance0.2526723384
MonotocityNot monotonic
2020-11-30T23:53:58.601583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1085821296.3%
 
9179922.0%
 
870130.8%
 
533680.4%
 
719110.2%
 
615860.2%
 
45440.1%
 
2207< 0.1%
 
3205< 0.1%
 
1183< 0.1%
 
ValueCountFrequency (%) 
1183< 0.1%
 
2207< 0.1%
 
3205< 0.1%
 
45440.1%
 
533680.4%
 
615860.2%
 
719110.2%
 
870130.8%
 
9179922.0%
 
1085821296.3%
 
ValueCountFrequency (%) 
1085821296.3%
 
9179922.0%
 
870130.8%
 
719110.2%
 
615860.2%
 
533680.4%
 
45440.1%
 
3205< 0.1%
 
2207< 0.1%
 
1183< 0.1%
 

D19_VERSI_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.976711725
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:58.683503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3111910919
Coefficient of variation (CV)0.0311917494
Kurtosis330.6294738
Mean9.976711725
Median Absolute Deviation (MAD)0
Skewness-16.95221773
Sum8891455
Variance0.0968398957
MonotocityNot monotonic
2020-11-30T23:53:58.759472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1088382699.2%
 
927660.3%
 
812540.1%
 
710450.1%
 
59820.1%
 
66840.1%
 
4292< 0.1%
 
2136< 0.1%
 
3132< 0.1%
 
1104< 0.1%
 
ValueCountFrequency (%) 
1104< 0.1%
 
2136< 0.1%
 
3132< 0.1%
 
4292< 0.1%
 
59820.1%
 
66840.1%
 
710450.1%
 
812540.1%
 
927660.3%
 
1088382699.2%
 
ValueCountFrequency (%) 
1088382699.2%
 
927660.3%
 
812540.1%
 
710450.1%
 
66840.1%
 
59820.1%
 
4292< 0.1%
 
3132< 0.1%
 
2136< 0.1%
 
1104< 0.1%
 

D19_VERSI_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.02522756376
Minimum0
Maximum10
Zeros632462
Zeros (%)71.0%
Memory size6.8 MiB
2020-11-30T23:53:58.840392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4980100736
Coefficient of variation (CV)19.74071212
Kurtosis392.4967988
Mean0.02522756376
Median Absolute Deviation (MAD)0
Skewness19.82712069
Sum15997
Variance0.2480140334
MonotocityNot monotonic
2020-11-30T23:53:58.928312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
063246271.0%
 
1015480.2%
 
570< 0.1%
 
711< 0.1%
 
39< 0.1%
 
86< 0.1%
 
61< 0.1%
 
91< 0.1%
 
(Missing)25711328.8%
 
ValueCountFrequency (%) 
063246271.0%
 
39< 0.1%
 
570< 0.1%
 
61< 0.1%
 
711< 0.1%
 
86< 0.1%
 
91< 0.1%
 
1015480.2%
 
ValueCountFrequency (%) 
1015480.2%
 
91< 0.1%
 
86< 0.1%
 
711< 0.1%
 
61< 0.1%
 
570< 0.1%
 
39< 0.1%
 
063246271.0%
 

D19_VERSICHERUNGEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.259786293
Minimum0
Maximum7
Zeros654664
Zeros (%)73.5%
Memory size6.8 MiB
2020-11-30T23:53:59.013073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.253954199
Coefficient of variation (CV)1.789155995
Kurtosis0.2188703704
Mean1.259786293
Median Absolute Deviation (MAD)0
Skewness1.405449114
Sum1122748
Variance5.08030953
MonotocityNot monotonic
2020-11-30T23:53:59.108274image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
065466473.5%
 
611655913.1%
 
3449335.0%
 
5309983.5%
 
2148921.7%
 
4132541.5%
 
1101071.1%
 
758140.7%
 
ValueCountFrequency (%) 
065466473.5%
 
1101071.1%
 
2148921.7%
 
3449335.0%
 
4132541.5%
 
5309983.5%
 
611655913.1%
 
758140.7%
 
ValueCountFrequency (%) 
758140.7%
 
611655913.1%
 
5309983.5%
 
4132541.5%
 
3449335.0%
 
2148921.7%
 
1101071.1%
 
065466473.5%
 

D19_VOLLSORTIMENT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.728497197
Minimum0
Maximum7
Zeros600002
Zeros (%)67.3%
Memory size6.8 MiB
2020-11-30T23:53:59.196164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.605193077
Coefficient of variation (CV)1.507201216
Kurtosis-0.9302481604
Mean1.728497197
Median Absolute Deviation (MAD)0
Skewness0.9580696057
Sum1540473
Variance6.787030967
MonotocityNot monotonic
2020-11-30T23:53:59.291804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
060000267.3%
 
617362619.5%
 
3445895.0%
 
5313033.5%
 
7232312.6%
 
282500.9%
 
463660.7%
 
138540.4%
 
ValueCountFrequency (%) 
060000267.3%
 
138540.4%
 
282500.9%
 
3445895.0%
 
463660.7%
 
5313033.5%
 
617362619.5%
 
7232312.6%
 
ValueCountFrequency (%) 
7232312.6%
 
617362619.5%
 
5313033.5%
 
463660.7%
 
3445895.0%
 
282500.9%
 
138540.4%
 
060000267.3%
 

D19_WEIN_FEINKOST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3775146681
Minimum0
Maximum7
Zeros836142
Zeros (%)93.8%
Memory size6.8 MiB
2020-11-30T23:53:59.380080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.493150872
Coefficient of variation (CV)3.955212865
Kurtosis12.5432718
Mean0.3775146681
Median Absolute Deviation (MAD)0
Skewness3.781988175
Sum336449
Variance2.229499526
MonotocityNot monotonic
2020-11-30T23:53:59.463407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
083614293.8%
 
6275563.1%
 
7206652.3%
 
334600.4%
 
529520.3%
 
4231< 0.1%
 
2179< 0.1%
 
136< 0.1%
 
ValueCountFrequency (%) 
083614293.8%
 
136< 0.1%
 
2179< 0.1%
 
334600.4%
 
4231< 0.1%
 
529520.3%
 
6275563.1%
 
7206652.3%
 
ValueCountFrequency (%) 
7206652.3%
 
6275563.1%
 
529520.3%
 
4231< 0.1%
 
334600.4%
 
2179< 0.1%
 
136< 0.1%
 
083614293.8%
 

DSL_FLAG
Boolean

MISSING

Distinct2
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Memory size6.8 MiB
1
772388 
0
 
25685
(Missing)
93148 
ValueCountFrequency (%) 
177238886.7%
 
0256852.9%
 
(Missing)9314810.5%
 

EINGEFUEGT_AM
Categorical

HIGH CARDINALITY
MISSING

Distinct5162
Distinct (%)0.6%
Missing93148
Missing (%)10.5%
Memory size6.8 MiB
1992-02-10 00:00:00
383738 
1992-02-12 00:00:00
192264 
1995-02-07 00:00:00
 
11181
2005-12-16 00:00:00
 
6291
2003-11-18 00:00:00
 
6050
Other values (5157)
198549 
ValueCountFrequency (%) 
1992-02-10 00:00:0038373843.1%
 
1992-02-12 00:00:0019226421.6%
 
1995-02-07 00:00:00111811.3%
 
2005-12-16 00:00:0062910.7%
 
2003-11-18 00:00:0060500.7%
 
1993-03-01 00:00:0032040.4%
 
2005-04-15 00:00:0023430.3%
 
2000-05-10 00:00:0023270.3%
 
2004-04-14 00:00:0022900.3%
 
2005-08-23 00:00:0020780.2%
 
1992-02-21 00:00:0020740.2%
 
1994-02-03 00:00:0020320.2%
 
1995-10-17 00:00:0020220.2%
 
1995-10-10 00:00:0019440.2%
 
1993-09-21 00:00:0018190.2%
 
1993-09-22 00:00:0014840.2%
 
1993-04-01 00:00:0012980.1%
 
1993-04-02 00:00:0012920.1%
 
1994-12-13 00:00:0011710.1%
 
1996-03-07 00:00:0011510.1%
 
1995-10-18 00:00:0011390.1%
 
1995-07-19 00:00:0011170.1%
 
2006-01-19 00:00:0011160.1%
 
2005-04-12 00:00:0010930.1%
 
2003-11-17 00:00:0010510.1%
 
Other values (5137)16450418.5%
 
(Missing)9314810.5%
 
2020-11-30T23:53:59.627852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique827 ?
Unique (%)0.1%

Overview of Unicode Properties

Unique unicode characters15
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0615639839.9%
 
-159614610.3%
 
:159614610.3%
 
2155942510.1%
 
115148539.8%
 
914998139.7%
 
7980735.2%
 
n1862961.2%
 
a931480.6%
 
5910620.6%
 
3900690.6%
 
4773310.5%
 
7694500.4%
 
6654820.4%
 
8491390.3%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number1117302272.4%
 
Dash Punctuation159614610.3%
 
Other Punctuation159614610.3%
 
Space Separator7980735.2%
 
Lowercase Letter2794441.8%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n18629666.7%
 
a9314833.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0615639855.1%
 
2155942514.0%
 
1151485313.6%
 
9149981313.4%
 
5910620.8%
 
3900690.8%
 
4773310.7%
 
7694500.6%
 
6654820.6%
 
8491390.4%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-1596146100.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
798073100.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
:1596146100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common1516338798.2%
 
Latin2794441.8%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n18629666.7%
 
a9314833.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
0615639840.6%
 
-159614610.5%
 
:159614610.5%
 
2155942510.3%
 
1151485310.0%
 
914998139.9%
 
7980735.3%
 
5910620.6%
 
3900690.6%
 
4773310.5%
 
7694500.5%
 
6654820.4%
 
8491390.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII15442831100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0615639839.9%
 
-159614610.3%
 
:159614610.3%
 
2155942510.1%
 
115148539.8%
 
914998139.7%
 
7980735.2%
 
n1862961.2%
 
a931480.6%
 
5910620.6%
 
3900690.6%
 
4773310.5%
 
7694500.4%
 
6654820.4%
 
8491390.3%
 

EINGEZOGENAM_HH_JAHR
Real number (ℝ≥0)

MISSING

Distinct37
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean2003.729061
Minimum1900
Maximum2018
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:59.747277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1900
5-th percentile1994
Q11997
median2003
Q32010
95-th percentile2015
Maximum2018
Range118
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.058203613
Coefficient of variation (CV)0.003522533935
Kurtosis-1.163031496
Mean2003.729061
Median Absolute Deviation (MAD)6
Skewness0.1567668637
Sum1638493335
Variance49.81823824
MonotocityNot monotonic
2020-11-30T23:53:59.862265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
199411143912.5%
 
1997662597.4%
 
2015459265.2%
 
2004451035.1%
 
2014439924.9%
 
2001414404.6%
 
2008349593.9%
 
2005347143.9%
 
2002345473.9%
 
2012335803.8%
 
2000322673.6%
 
1999319913.6%
 
2007311053.5%
 
2013309823.5%
 
1998295903.3%
 
2011259732.9%
 
2009228862.6%
 
1996220392.5%
 
2003217162.4%
 
2006213782.4%
 
2010212402.4%
 
1995181952.0%
 
2016136991.5%
 
19938710.1%
 
20185650.1%
 
Other values (12)12660.1%
 
(Missing)734998.2%
 
ValueCountFrequency (%) 
19001< 0.1%
 
19041< 0.1%
 
19711< 0.1%
 
19841< 0.1%
 
19868< 0.1%
 
198719< 0.1%
 
198828< 0.1%
 
198972< 0.1%
 
1990158< 0.1%
 
1991205< 0.1%
 
ValueCountFrequency (%) 
20185650.1%
 
2017208< 0.1%
 
2016136991.5%
 
2015459265.2%
 
2014439924.9%
 
2013309823.5%
 
2012335803.8%
 
2011259732.9%
 
2010212402.4%
 
2009228862.6%
 

EWDICHTE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing93740
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean3.939172219
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:53:59.963149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.718995626
Coefficient of variation (CV)0.4363849891
Kurtosis-1.257676433
Mean3.939172219
Median Absolute Deviation (MAD)2
Skewness-0.3120349462
Sum3141415
Variance2.954945961
MonotocityNot monotonic
2020-11-30T23:54:00.052638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
620100922.6%
 
516120918.1%
 
213908715.6%
 
413071614.7%
 
1840519.4%
 
3814099.1%
 
(Missing)9374010.5%
 
ValueCountFrequency (%) 
1840519.4%
 
213908715.6%
 
3814099.1%
 
413071614.7%
 
516120918.1%
 
620100922.6%
 
ValueCountFrequency (%) 
620100922.6%
 
516120918.1%
 
413071614.7%
 
3814099.1%
 
213908715.6%
 
1840519.4%
 

EXTSEL992
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)< 0.1%
Missing654153
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean33.33839236
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:00.158661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q123
median34
Q343
95-th percentile56
Maximum56
Range55
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.53740758
Coefficient of variation (CV)0.4360560469
Kurtosis-0.614888915
Mean33.33839236
Median Absolute Deviation (MAD)11
Skewness-0.1370241946
Sum7903466
Variance211.3362192
MonotocityNot monotonic
2020-11-30T23:54:00.613885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
56197222.2%
 
31149871.7%
 
27132691.5%
 
38128561.4%
 
23127421.4%
 
36120591.4%
 
35113081.3%
 
5598121.1%
 
3485831.0%
 
5064350.7%
 
5356860.6%
 
3752110.6%
 
2151140.6%
 
5448570.5%
 
648150.5%
 
4145170.5%
 
1944450.5%
 
2943320.5%
 
1843150.5%
 
3942530.5%
 
3341990.5%
 
2540950.5%
 
2040690.5%
 
2630870.3%
 
3230410.3%
 
Other values (31)492595.5%
 
(Missing)65415373.4%
 
ValueCountFrequency (%) 
115260.2%
 
227010.3%
 
327830.3%
 
414680.2%
 
514370.2%
 
648150.5%
 
75460.1%
 
86420.1%
 
99830.1%
 
108660.1%
 
ValueCountFrequency (%) 
56197222.2%
 
5598121.1%
 
5448570.5%
 
5356860.6%
 
5214150.2%
 
516740.1%
 
5064350.7%
 
49251< 0.1%
 
4829160.3%
 
4716590.2%
 

FINANZ_ANLEGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.033328434
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:00.714896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.529602515
Coefficient of variation (CV)0.5042653801
Kurtosis-1.478883143
Mean3.033328434
Median Absolute Deviation (MAD)1
Skewness-0.01148797371
Sum2703366
Variance2.339683855
MonotocityNot monotonic
2020-11-30T23:54:00.798379image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
523450826.3%
 
121081223.7%
 
216128618.1%
 
414359716.1%
 
314101815.8%
 
ValueCountFrequency (%) 
121081223.7%
 
216128618.1%
 
314101815.8%
 
414359716.1%
 
523450826.3%
 
ValueCountFrequency (%) 
523450826.3%
 
414359716.1%
 
314101815.8%
 
216128618.1%
 
121081223.7%
 

FINANZ_HAUSBAUER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.075120537
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:00.892016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.353248108
Coefficient of variation (CV)0.4400634355
Kurtosis-1.152085532
Mean3.075120537
Median Absolute Deviation (MAD)1
Skewness-0.02551465987
Sum2740612
Variance1.831280442
MonotocityNot monotonic
2020-11-30T23:54:00.973636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
323518426.4%
 
518391820.6%
 
217184719.3%
 
415716817.6%
 
114310416.1%
 
ValueCountFrequency (%) 
114310416.1%
 
217184719.3%
 
323518426.4%
 
415716817.6%
 
518391820.6%
 
ValueCountFrequency (%) 
518391820.6%
 
415716817.6%
 
323518426.4%
 
217184719.3%
 
114310416.1%
 

FINANZ_MINIMALIST
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.074528091
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:01.076972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.321054925
Coefficient of variation (CV)0.4296772987
Kurtosis-1.068995334
Mean3.074528091
Median Absolute Deviation (MAD)1
Skewness-0.05160997378
Sum2740084
Variance1.745186115
MonotocityNot monotonic
2020-11-30T23:54:01.158344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
325627628.8%
 
516886318.9%
 
416718218.8%
 
215931317.9%
 
113958715.7%
 
ValueCountFrequency (%) 
113958715.7%
 
215931317.9%
 
325627628.8%
 
416718218.8%
 
516886318.9%
 
ValueCountFrequency (%) 
516886318.9%
 
416718218.8%
 
325627628.8%
 
215931317.9%
 
113958715.7%
 

FINANZ_SPARER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.821038777
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:01.247411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.464748804
Coefficient of variation (CV)0.519223208
Kurtosis-1.41317134
Mean2.821038777
Median Absolute Deviation (MAD)1
Skewness0.08897381631
Sum2514169
Variance2.145489059
MonotocityNot monotonic
2020-11-30T23:54:01.329614image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
125021328.1%
 
420122322.6%
 
215305117.2%
 
514638016.4%
 
314035415.7%
 
ValueCountFrequency (%) 
125021328.1%
 
215305117.2%
 
314035415.7%
 
420122322.6%
 
514638016.4%
 
ValueCountFrequency (%) 
514638016.4%
 
420122322.6%
 
314035415.7%
 
215305117.2%
 
125021328.1%
 

FINANZ_UNAUFFAELLIGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.874167014
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:01.419770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.486731128
Coefficient of variation (CV)0.5172737428
Kurtosis-1.367426978
Mean2.874167014
Median Absolute Deviation (MAD)1
Skewness0.1751603062
Sum2561518
Variance2.210369448
MonotocityNot monotonic
2020-11-30T23:54:01.499116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
122059724.8%
 
520055122.5%
 
218574920.8%
 
317062819.1%
 
411369612.8%
 
ValueCountFrequency (%) 
122059724.8%
 
218574920.8%
 
317062819.1%
 
411369612.8%
 
520055122.5%
 
ValueCountFrequency (%) 
520055122.5%
 
411369612.8%
 
317062819.1%
 
218574920.8%
 
122059724.8%
 

FINANZ_VORSORGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.401105899
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:01.586132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.322134154
Coefficient of variation (CV)0.3887365445
Kurtosis-0.9682562328
Mean3.401105899
Median Absolute Deviation (MAD)1
Skewness-0.3628209658
Sum3031137
Variance1.748038722
MonotocityNot monotonic
2020-11-30T23:54:01.667552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
524226227.2%
 
322984225.8%
 
419821822.2%
 
211653013.1%
 
110436911.7%
 
ValueCountFrequency (%) 
110436911.7%
 
211653013.1%
 
322984225.8%
 
419821822.2%
 
524226227.2%
 
ValueCountFrequency (%) 
524226227.2%
 
419821822.2%
 
322984225.8%
 
211653013.1%
 
110436911.7%
 

FINANZTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.790586173
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:01.751454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.987875961
Coefficient of variation (CV)0.5244244216
Kurtosis-1.533410771
Mean3.790586173
Median Absolute Deviation (MAD)2
Skewness-0.2397764052
Sum3378250
Variance3.951650838
MonotocityNot monotonic
2020-11-30T23:54:01.835028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
629036732.6%
 
119957222.4%
 
413062514.7%
 
211086712.4%
 
510643611.9%
 
3533546.0%
 
ValueCountFrequency (%) 
119957222.4%
 
211086712.4%
 
3533546.0%
 
413062514.7%
 
510643611.9%
 
629036732.6%
 
ValueCountFrequency (%) 
629036732.6%
 
510643611.9%
 
413062514.7%
 
3533546.0%
 
211086712.4%
 
119957222.4%
 

FIRMENDICHTE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing93155
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean3.456028699
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:01.918286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.153415428
Coefficient of variation (CV)0.3337401186
Kurtosis-0.7473515938
Mean3.456028699
Median Absolute Deviation (MAD)1
Skewness-0.3887982899
Sum2758139
Variance1.330367149
MonotocityNot monotonic
2020-11-30T23:54:02.003630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
427363730.7%
 
318160820.4%
 
515921717.9%
 
213907815.6%
 
1445265.0%
 
(Missing)9315510.5%
 
ValueCountFrequency (%) 
1445265.0%
 
213907815.6%
 
318160820.4%
 
427363730.7%
 
515921717.9%
 
ValueCountFrequency (%) 
515921717.9%
 
427363730.7%
 
318160820.4%
 
213907815.6%
 
1445265.0%
 

GEBAEUDETYP
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean2.798641227
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:02.093017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.65671341
Coefficient of variation (CV)0.949286884
Kurtosis-0.06997518803
Mean2.798641227
Median Absolute Deviation (MAD)0
Skewness1.256130407
Sum2233520
Variance7.058126142
MonotocityNot monotonic
2020-11-30T23:54:02.170056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
146046551.7%
 
317866820.0%
 
815247617.1%
 
249350.6%
 
49000.1%
 
66280.1%
 
51< 0.1%
 
(Missing)9314810.5%
 
ValueCountFrequency (%) 
146046551.7%
 
249350.6%
 
317866820.0%
 
49000.1%
 
51< 0.1%
 
66280.1%
 
815247617.1%
 
ValueCountFrequency (%) 
815247617.1%
 
66280.1%
 
51< 0.1%
 
49000.1%
 
317866820.0%
 
249350.6%
 
146046551.7%
 

GEBAEUDETYP_RASTER
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing93155
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean3.738306105
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:02.255221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9231926007
Coefficient of variation (CV)0.2469547904
Kurtosis0.1816332307
Mean3.738306105
Median Absolute Deviation (MAD)1
Skewness-0.5937383027
Sum2983415
Variance0.852284578
MonotocityNot monotonic
2020-11-30T23:54:02.338514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
435962040.4%
 
320533023.0%
 
515921717.9%
 
2589616.6%
 
1149381.7%
 
(Missing)9315510.5%
 
ValueCountFrequency (%) 
1149381.7%
 
2589616.6%
 
320533023.0%
 
435962040.4%
 
515921717.9%
 
ValueCountFrequency (%) 
515921717.9%
 
435962040.4%
 
320533023.0%
 
2589616.6%
 
1149381.7%
 

GEBURTSJAHR
Real number (ℝ≥0)

ZEROS

Distinct117
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1101.178533
Minimum0
Maximum2017
Zeros392318
Zeros (%)44.0%
Memory size6.8 MiB
2020-11-30T23:54:02.452443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1943
Q31970
95-th percentile1990
Maximum2017
Range2017
Interquartile range (IQR)1970

Descriptive statistics

Standard deviation976.5835513
Coefficient of variation (CV)0.88685306
Kurtosis-1.941480575
Mean1101.178533
Median Absolute Deviation (MAD)46
Skewness-0.240357039
Sum981393433
Variance953715.4326
MonotocityNot monotonic
2020-11-30T23:54:02.577363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
039231844.0%
 
1967111831.3%
 
1965110901.2%
 
1966109331.2%
 
1970108831.2%
 
1964107991.2%
 
1968107921.2%
 
1963105131.2%
 
1969103601.2%
 
1980102751.2%
 
1962100821.1%
 
196198801.1%
 
197197861.1%
 
198295161.1%
 
197895091.1%
 
196094921.1%
 
197994221.1%
 
198193741.1%
 
197792961.0%
 
195990981.0%
 
197290271.0%
 
197690051.0%
 
198388871.0%
 
197486761.0%
 
198485531.0%
 
Other values (92)26247229.5%
 
ValueCountFrequency (%) 
039231844.0%
 
19004< 0.1%
 
19021< 0.1%
 
19045< 0.1%
 
19058< 0.1%
 
19067< 0.1%
 
19074< 0.1%
 
19087< 0.1%
 
19097< 0.1%
 
191041< 0.1%
 
ValueCountFrequency (%) 
20175930.1%
 
2016167< 0.1%
 
2015257< 0.1%
 
2014124< 0.1%
 
2013380< 0.1%
 
20128060.1%
 
20114850.1%
 
20105450.1%
 
20095590.1%
 
20085500.1%
 

GEMEINDETYP
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing97274
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean24.18674798
Minimum11
Maximum50
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:02.691042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q112
median22
Q330
95-th percentile50
Maximum50
Range39
Interquartile range (IQR)18

Descriptive statistics

Standard deviation12.03785174
Coefficient of variation (CV)0.4977044351
Kurtosis-0.7288214936
Mean24.18674798
Median Absolute Deviation (MAD)10
Skewness0.6001933634
Sum19202996
Variance144.9098745
MonotocityNot monotonic
2020-11-30T23:54:02.773190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
2215130717.0%
 
1115071516.9%
 
4012557114.1%
 
3012240613.7%
 
1212014513.5%
 
21727778.2%
 
50510265.7%
 
(Missing)9727410.9%
 
ValueCountFrequency (%) 
1115071516.9%
 
1212014513.5%
 
21727778.2%
 
2215130717.0%
 
3012240613.7%
 
4012557114.1%
 
50510265.7%
 
ValueCountFrequency (%) 
50510265.7%
 
4012557114.1%
 
3012240613.7%
 
2215130717.0%
 
21727778.2%
 
1212014513.5%
 
1115071516.9%
 

GFK_URLAUBERTYP
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean7.350304107
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:02.866625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.525723215
Coefficient of variation (CV)0.4796703869
Kurtosis-1.23285991
Mean7.350304107
Median Absolute Deviation (MAD)3
Skewness-0.2416175217
Sum6515067
Variance12.43072419
MonotocityNot monotonic
2020-11-30T23:54:02.953827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
1213854515.5%
 
512012613.5%
 
1010912712.2%
 
8880429.9%
 
11797408.9%
 
4637707.2%
 
9606146.8%
 
3560076.3%
 
1536006.0%
 
2467025.2%
 
7429564.8%
 
6271383.0%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
1536006.0%
 
2467025.2%
 
3560076.3%
 
4637707.2%
 
512012613.5%
 
6271383.0%
 
7429564.8%
 
8880429.9%
 
9606146.8%
 
1010912712.2%
 
ValueCountFrequency (%) 
1213854515.5%
 
11797408.9%
 
1010912712.2%
 
9606146.8%
 
8880429.9%
 
7429564.8%
 
6271383.0%
 
512012613.5%
 
4637707.2%
 
3560076.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
715996 
1
175225 
ValueCountFrequency (%) 
071599680.3%
 
117522519.7%
 

HEALTH_TYP
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
3
310693 
2
306944 
1
162388 
-1
111196 
ValueCountFrequency (%) 
331069334.9%
 
230694434.4%
 
116238818.2%
 
-111119612.5%
 
2020-11-30T23:54:03.059644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters4
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
331069331.0%
 
230694430.6%
 
127358427.3%
 
-11119611.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number89122188.9%
 
Dash Punctuation11119611.1%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-111196100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
331069334.9%
 
230694434.4%
 
127358430.7%
 

Most occurring scripts

ValueCountFrequency (%) 
Common1002417100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
331069331.0%
 
230694430.6%
 
127358427.3%
 
-11119611.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII1002417100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
331069331.0%
 
230694430.6%
 
127358427.3%
 
-11119611.1%
 

HH_DELTA_FLAG
Boolean

MISSING

Distinct2
Distinct (%)< 0.1%
Missing107602
Missing (%)12.1%
Memory size6.8 MiB
0
710942 
1
72677 
(Missing)
107602 
ValueCountFrequency (%) 
071094279.8%
 
1726778.2%
 
(Missing)10760212.1%
 

HH_EINKOMMEN_SCORE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing18348
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean4.207243207
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:03.147031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.624057021
Coefficient of variation (CV)0.3860145327
Kurtosis-1.049195412
Mean4.207243207
Median Absolute Deviation (MAD)1
Skewness-0.4985505452
Sum3672389
Variance2.637561207
MonotocityNot monotonic
2020-11-30T23:54:03.229073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
625277528.4%
 
520148222.6%
 
214081715.8%
 
413976215.7%
 
3848059.5%
 
1532326.0%
 
(Missing)183482.1%
 
ValueCountFrequency (%) 
1532326.0%
 
214081715.8%
 
3848059.5%
 
413976215.7%
 
520148222.6%
 
625277528.4%
 
ValueCountFrequency (%) 
625277528.4%
 
520148222.6%
 
413976215.7%
 
3848059.5%
 
214081715.8%
 
1532326.0%
 

INNENSTADT
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing93740
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean4.549491461
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:03.310090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.028919204
Coefficient of variation (CV)0.4459661528
Kurtosis-0.9225382692
Mean4.549491461
Median Absolute Deviation (MAD)2
Skewness0.03835712867
Sum3628133
Variance4.116513137
MonotocityNot monotonic
2020-11-30T23:54:03.392215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
514762616.6%
 
413406715.0%
 
611167912.5%
 
210904812.2%
 
39281810.4%
 
8828709.3%
 
7674637.6%
 
1519105.8%
 
(Missing)9374010.5%
 
ValueCountFrequency (%) 
1519105.8%
 
210904812.2%
 
39281810.4%
 
413406715.0%
 
514762616.6%
 
611167912.5%
 
7674637.6%
 
8828709.3%
 
ValueCountFrequency (%) 
8828709.3%
 
7674637.6%
 
611167912.5%
 
514762616.6%
 
413406715.0%
 
39281810.4%
 
210904812.2%
 
1519105.8%
 

KBA05_ALTER1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.071317079
Minimum0
Maximum9
Zeros102789
Zeros (%)11.5%
Memory size6.8 MiB
2020-11-30T23:54:03.481411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.53211977
Coefficient of variation (CV)0.7396838395
Kurtosis5.95524156
Mean2.071317079
Median Absolute Deviation (MAD)1
Skewness1.649317771
Sum1569845
Variance2.347390988
MonotocityNot monotonic
2020-11-30T23:54:03.554334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
222862525.7%
 
116704618.7%
 
316612918.6%
 
010278911.5%
 
4785228.8%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
010278911.5%
 
116704618.7%
 
222862525.7%
 
316612918.6%
 
4785228.8%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
4785228.8%
 
316612918.6%
 
222862525.7%
 
116704618.7%
 
010278911.5%
 

KBA05_ALTER2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.149416082
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:03.631630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.33867585
Coefficient of variation (CV)0.4250552532
Kurtosis5.11928671
Mean3.149416082
Median Absolute Deviation (MAD)1
Skewness1.484007539
Sum2386933
Variance1.792053031
MonotocityNot monotonic
2020-11-30T23:54:03.712758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
328810732.3%
 
216580618.6%
 
415992817.9%
 
5722368.1%
 
1570346.4%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1570346.4%
 
216580618.6%
 
328810732.3%
 
415992817.9%
 
5722368.1%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5722368.1%
 
415992817.9%
 
328810732.3%
 
216580618.6%
 
1570346.4%
 

KBA05_ALTER3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.112195984
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:03.799863image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.34970538
Coefficient of variation (CV)0.4336826429
Kurtosis5.080653676
Mean3.112195984
Median Absolute Deviation (MAD)1
Skewness1.460109044
Sum2358724
Variance1.821704612
MonotocityNot monotonic
2020-11-30T23:54:03.880374image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
329243632.8%
 
215873717.8%
 
415619417.5%
 
1681577.6%
 
5675877.6%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1681577.6%
 
215873717.8%
 
329243632.8%
 
415619417.5%
 
5675877.6%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5675877.6%
 
415619417.5%
 
329243632.8%
 
215873717.8%
 
1681577.6%
 

KBA05_ALTER4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.91948906
Minimum0
Maximum9
Zeros50127
Zeros (%)5.6%
Memory size6.8 MiB
2020-11-30T23:54:03.973014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.50037217
Coefficient of variation (CV)0.5139160103
Kurtosis3.754077481
Mean2.91948906
Median Absolute Deviation (MAD)1
Skewness0.8746712873
Sum2212672
Variance2.251116648
MonotocityNot monotonic
2020-11-30T23:54:04.047896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
329908533.6%
 
414407316.2%
 
213859715.6%
 
1568226.4%
 
5544076.1%
 
0501275.6%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
0501275.6%
 
1568226.4%
 
213859715.6%
 
329908533.6%
 
414407316.2%
 
5544076.1%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5544076.1%
 
414407316.2%
 
329908533.6%
 
213859715.6%
 
1568226.4%
 
0501275.6%
 

KBA05_ANHANG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.106609473
Minimum0
Maximum9
Zeros266145
Zeros (%)29.9%
Memory size6.8 MiB
2020-11-30T23:54:04.128826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.427606175
Coefficient of variation (CV)1.290072252
Kurtosis14.58671992
Mean1.106609473
Median Absolute Deviation (MAD)1
Skewness3.205719197
Sum838696
Variance2.038059392
MonotocityNot monotonic
2020-11-30T23:54:04.203951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
132347236.3%
 
026614529.9%
 
3815259.1%
 
2728788.2%
 
9138771.6%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
026614529.9%
 
132347236.3%
 
2728788.2%
 
3815259.1%
 
9138771.6%
 
ValueCountFrequency (%) 
9138771.6%
 
3815259.1%
 
2728788.2%
 
132347236.3%
 
026614529.9%
 

KBA05_ANTG1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.494276927
Minimum0
Maximum4
Zeros261049
Zeros (%)29.3%
Memory size6.8 MiB
2020-11-30T23:54:04.283191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.40396086
Coefficient of variation (CV)0.9395586821
Kurtosis-1.126245837
Mean1.494276927
Median Absolute Deviation (MAD)1
Skewness0.4585563122
Sum1132508
Variance1.971106097
MonotocityNot monotonic
2020-11-30T23:54:04.363082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
026104929.3%
 
116122418.1%
 
212672514.2%
 
311776213.2%
 
49113710.2%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
026104929.3%
 
116122418.1%
 
212672514.2%
 
311776213.2%
 
49113710.2%
 
ValueCountFrequency (%) 
49113710.2%
 
311776213.2%
 
212672514.2%
 
116122418.1%
 
026104929.3%
 

KBA05_ANTG2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.265583582
Minimum0
Maximum4
Zeros292538
Zeros (%)32.8%
Memory size6.8 MiB
2020-11-30T23:54:04.450811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.245177641
Coefficient of variation (CV)0.9838762598
Kurtosis-1.011560337
Mean1.265583582
Median Absolute Deviation (MAD)1
Skewness0.5130422504
Sum959182
Variance1.550467358
MonotocityNot monotonic
2020-11-30T23:54:04.532988image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
029253832.8%
 
116375118.4%
 
213827315.5%
 
313445515.1%
 
4288803.2%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
029253832.8%
 
116375118.4%
 
213827315.5%
 
313445515.1%
 
4288803.2%
 
ValueCountFrequency (%) 
4288803.2%
 
313445515.1%
 
213827315.5%
 
116375118.4%
 
029253832.8%
 

KBA05_ANTG3
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Memory size6.8 MiB
0
511545 
1
92748 
2
80234 
3
73370 
ValueCountFrequency (%) 
051154557.4%
 
19274810.4%
 
2802349.0%
 
3733708.2%
 
(Missing)13332415.0%
 
2020-11-30T23:54:04.632093image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters7
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0126944247.5%
 
.75789728.3%
 
n26664810.0%
 
a1333245.0%
 
1927483.5%
 
2802343.0%
 
3733702.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number151579456.7%
 
Other Punctuation75789728.3%
 
Lowercase Letter39997215.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0126944283.7%
 
1927486.1%
 
2802345.3%
 
3733704.8%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.757897100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common227369185.0%
 
Latin39997215.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
0126944255.8%
 
.75789733.3%
 
1927484.1%
 
2802343.5%
 
3733703.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0126944247.5%
 
.75789728.3%
 
n26664810.0%
 
a1333245.0%
 
1927483.5%
 
2802343.0%
 
3733702.7%
 

KBA05_ANTG4
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Memory size6.8 MiB
0
600171 
1
83591 
2
74135 
ValueCountFrequency (%) 
060017167.3%
 
1835919.4%
 
2741358.3%
 
(Missing)13332415.0%
 
2020-11-30T23:54:04.727740image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters6
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0135806850.8%
 
.75789728.3%
 
n26664810.0%
 
a1333245.0%
 
1835913.1%
 
2741352.8%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number151579456.7%
 
Other Punctuation75789728.3%
 
Lowercase Letter39997215.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0135806889.6%
 
1835915.5%
 
2741354.9%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.757897100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common227369185.0%
 
Latin39997215.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
0135806859.7%
 
.75789733.3%
 
1835913.7%
 
2741353.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0135806850.8%
 
.75789728.3%
 
n26664810.0%
 
a1333245.0%
 
1835913.1%
 
2741352.8%
 

KBA05_AUTOQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.207993962
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:04.812682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.400238463
Coefficient of variation (CV)0.436484133
Kurtosis3.810047352
Mean3.207993962
Median Absolute Deviation (MAD)1
Skewness1.116063606
Sum2431329
Variance1.960667754
MonotocityNot monotonic
2020-11-30T23:54:04.894460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
325801329.0%
 
419470621.8%
 
212332013.8%
 
1841579.4%
 
5829109.3%
 
9147911.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1841579.4%
 
212332013.8%
 
325801329.0%
 
419470621.8%
 
5829109.3%
 
9147911.7%
 
ValueCountFrequency (%) 
9147911.7%
 
5829109.3%
 
419470621.8%
 
325801329.0%
 
212332013.8%
 
1841579.4%
 

KBA05_BAUMAX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.389551615
Minimum0
Maximum5
Zeros343200
Zeros (%)38.5%
Memory size6.8 MiB
2020-11-30T23:54:04.978593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.779482931
Coefficient of variation (CV)1.280616648
Kurtosis-0.3354147408
Mean1.389551615
Median Absolute Deviation (MAD)1
Skewness1.087923604
Sum1053137
Variance3.166559503
MonotocityNot monotonic
2020-11-30T23:54:05.063904image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
034320038.5%
 
120841723.4%
 
59892311.1%
 
3599556.7%
 
4377184.2%
 
296841.1%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
034320038.5%
 
120841723.4%
 
296841.1%
 
3599556.7%
 
4377184.2%
 
59892311.1%
 
ValueCountFrequency (%) 
59892311.1%
 
4377184.2%
 
3599556.7%
 
296841.1%
 
120841723.4%
 
034320038.5%
 

KBA05_CCM1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.082453157
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:05.145357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.349762949
Coefficient of variation (CV)0.4378859564
Kurtosis5.202584146
Mean3.082453157
Median Absolute Deviation (MAD)1
Skewness1.50948481
Sum2336182
Variance1.821860017
MonotocityNot monotonic
2020-11-30T23:54:05.225822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
329000132.5%
 
217086019.2%
 
414874116.7%
 
1677817.6%
 
5657287.4%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1677817.6%
 
217086019.2%
 
329000132.5%
 
414874116.7%
 
5657287.4%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5657287.4%
 
414874116.7%
 
329000132.5%
 
217086019.2%
 
1677817.6%
 

KBA05_CCM2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.115361322
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:05.312573image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.323140803
Coefficient of variation (CV)0.4247150383
Kurtosis5.635892433
Mean3.115361322
Median Absolute Deviation (MAD)1
Skewness1.544584328
Sum2361123
Variance1.750701586
MonotocityNot monotonic
2020-11-30T23:54:05.393827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
330107533.8%
 
416335018.3%
 
215781817.7%
 
1621387.0%
 
5587306.6%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1621387.0%
 
215781817.7%
 
330107533.8%
 
416335018.3%
 
5587306.6%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5587306.6%
 
416335018.3%
 
330107533.8%
 
215781817.7%
 
1621387.0%
 

KBA05_CCM3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.144478735
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:05.481286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.351332526
Coefficient of variation (CV)0.4297477068
Kurtosis4.903103176
Mean3.144478735
Median Absolute Deviation (MAD)1
Skewness1.410426798
Sum2383191
Variance1.826099595
MonotocityNot monotonic
2020-11-30T23:54:05.561589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
328594232.1%
 
416634818.7%
 
215403817.3%
 
5705107.9%
 
1662737.4%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1662737.4%
 
215403817.3%
 
328594232.1%
 
416634818.7%
 
5705107.9%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5705107.9%
 
416634818.7%
 
328594232.1%
 
215403817.3%
 
1662737.4%
 

KBA05_CCM4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.358658235
Minimum0
Maximum9
Zeros274064
Zeros (%)30.8%
Memory size6.8 MiB
2020-11-30T23:54:05.651129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.621032055
Coefficient of variation (CV)1.19311245
Kurtosis7.36516988
Mean1.358658235
Median Absolute Deviation (MAD)1
Skewness2.215730085
Sum1029723
Variance2.627744924
MonotocityNot monotonic
2020-11-30T23:54:05.723620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
027406430.8%
 
121468224.1%
 
212843114.4%
 
3786318.8%
 
4473035.3%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
027406430.8%
 
121468224.1%
 
212843114.4%
 
3786318.8%
 
4473035.3%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
4473035.3%
 
3786318.8%
 
212843114.4%
 
121468224.1%
 
027406430.8%
 

KBA05_DIESEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.147869697
Minimum0
Maximum9
Zeros64600
Zeros (%)7.2%
Memory size6.8 MiB
2020-11-30T23:54:05.802149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.427566055
Coefficient of variation (CV)0.6646427651
Kurtosis8.147408728
Mean2.147869697
Median Absolute Deviation (MAD)1
Skewness1.992599193
Sum1627864
Variance2.037944841
MonotocityNot monotonic
2020-11-30T23:54:05.877129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
229461633.1%
 
316367518.4%
 
115544917.4%
 
4647717.3%
 
0646007.2%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
0646007.2%
 
115544917.4%
 
229461633.1%
 
316367518.4%
 
4647717.3%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
4647717.3%
 
316367518.4%
 
229461633.1%
 
115544917.4%
 
0646007.2%
 

KBA05_FRAU
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.110022866
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:05.961882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.349793845
Coefficient of variation (CV)0.4340141225
Kurtosis5.103451794
Mean3.110022866
Median Absolute Deviation (MAD)1
Skewness1.468568012
Sum2357077
Variance1.821943424
MonotocityNot monotonic
2020-11-30T23:54:06.044642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
330322034.0%
 
215389317.3%
 
414672116.5%
 
5700997.9%
 
1691787.8%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1691787.8%
 
215389317.3%
 
330322034.0%
 
414672116.5%
 
5700997.9%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5700997.9%
 
414672116.5%
 
330322034.0%
 
215389317.3%
 
1691787.8%
 

KBA05_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.158579596
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:06.134547image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3295374
Coefficient of variation (CV)0.4209288891
Kurtosis-1.106488204
Mean3.158579596
Median Absolute Deviation (MAD)1
Skewness-0.1178680345
Sum2393878
Variance1.767669699
MonotocityNot monotonic
2020-11-30T23:54:06.220636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
319783322.2%
 
515897117.8%
 
415530117.4%
 
213852815.5%
 
110726412.0%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
110726412.0%
 
213852815.5%
 
319783322.2%
 
415530117.4%
 
515897117.8%
 
ValueCountFrequency (%) 
515897117.8%
 
415530117.4%
 
319783322.2%
 
213852815.5%
 
110726412.0%
 

KBA05_HERST1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.47634705
Minimum0
Maximum9
Zeros75567
Zeros (%)8.5%
Memory size6.8 MiB
2020-11-30T23:54:06.313715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.635225823
Coefficient of variation (CV)0.6603379051
Kurtosis3.09938565
Mean2.47634705
Median Absolute Deviation (MAD)1
Skewness1.15420156
Sum1876816
Variance2.673963493
MonotocityNot monotonic
2020-11-30T23:54:06.385819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
222568725.3%
 
317713819.9%
 
111878113.3%
 
4875179.8%
 
0755678.5%
 
5584216.6%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
0755678.5%
 
111878113.3%
 
222568725.3%
 
317713819.9%
 
4875179.8%
 
5584216.6%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5584216.6%
 
4875179.8%
 
317713819.9%
 
222568725.3%
 
111878113.3%
 
0755678.5%
 

KBA05_HERST2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.103159136
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:06.462164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.316661495
Coefficient of variation (CV)0.4242971235
Kurtosis5.826292731
Mean3.103159136
Median Absolute Deviation (MAD)1
Skewness1.622613982
Sum2351875
Variance1.733597494
MonotocityNot monotonic
2020-11-30T23:54:06.542402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
330193233.9%
 
217298119.4%
 
415203917.1%
 
5606826.8%
 
1554776.2%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1554776.2%
 
217298119.4%
 
330193233.9%
 
415203917.1%
 
5606826.8%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5606826.8%
 
415203917.1%
 
330193233.9%
 
217298119.4%
 
1554776.2%
 

KBA05_HERST3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.035828087
Minimum0
Maximum9
Zeros16789
Zeros (%)1.9%
Memory size6.8 MiB
2020-11-30T23:54:06.631763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.394467658
Coefficient of variation (CV)0.4593368324
Kurtosis4.812019706
Mean3.035828087
Median Absolute Deviation (MAD)1
Skewness1.252406311
Sum2300845
Variance1.944540048
MonotocityNot monotonic
2020-11-30T23:54:06.707352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
329841933.5%
 
215947517.9%
 
414728416.5%
 
5608216.8%
 
1603236.8%
 
0167891.9%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
0167891.9%
 
1603236.8%
 
215947517.9%
 
329841933.5%
 
414728416.5%
 
5608216.8%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5608216.8%
 
414728416.5%
 
329841933.5%
 
215947517.9%
 
1603236.8%
 
0167891.9%
 

KBA05_HERST4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.955032148
Minimum0
Maximum9
Zeros30739
Zeros (%)3.4%
Memory size6.8 MiB
2020-11-30T23:54:06.788543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.496686498
Coefficient of variation (CV)0.5064873824
Kurtosis3.502252877
Mean2.955032148
Median Absolute Deviation (MAD)1
Skewness0.9979404135
Sum2239610
Variance2.240070472
MonotocityNot monotonic
2020-11-30T23:54:07.305575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
325953329.1%
 
216436218.4%
 
414264816.0%
 
1751318.4%
 
5706987.9%
 
0307393.4%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
0307393.4%
 
1751318.4%
 
216436218.4%
 
325953329.1%
 
414264816.0%
 
5706987.9%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5706987.9%
 
414264816.0%
 
325953329.1%
 
216436218.4%
 
1751318.4%
 
0307393.4%
 

KBA05_HERST5
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.923587242
Minimum0
Maximum9
Zeros47295
Zeros (%)5.3%
Memory size6.8 MiB
2020-11-30T23:54:07.385243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.539973249
Coefficient of variation (CV)0.5267409936
Kurtosis3.110544784
Mean2.923587242
Median Absolute Deviation (MAD)1
Skewness0.8401280885
Sum2215778
Variance2.371517607
MonotocityNot monotonic
2020-11-30T23:54:07.459618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
324217027.2%
 
216432118.4%
 
415926117.9%
 
5651117.3%
 
1649537.3%
 
0472955.3%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
0472955.3%
 
1649537.3%
 
216432118.4%
 
324217027.2%
 
415926117.9%
 
5651117.3%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5651117.3%
 
415926117.9%
 
324217027.2%
 
216432118.4%
 
1649537.3%
 
0472955.3%
 

KBA05_HERSTTEMP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean2.836532498
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:07.536445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.491578283
Coefficient of variation (CV)0.5258456527
Kurtosis4.075225324
Mean2.836532498
Median Absolute Deviation (MAD)1
Skewness1.40012902
Sum2263760
Variance2.224805773
MonotocityNot monotonic
2020-11-30T23:54:07.616810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327542830.9%
 
116238618.2%
 
215785617.7%
 
412019313.5%
 
5653217.3%
 
9168891.9%
 
(Missing)9314810.5%
 
ValueCountFrequency (%) 
116238618.2%
 
215785617.7%
 
327542830.9%
 
412019313.5%
 
5653217.3%
 
9168891.9%
 
ValueCountFrequency (%) 
9168891.9%
 
5653217.3%
 
412019313.5%
 
327542830.9%
 
215785617.7%
 
116238618.2%
 

KBA05_KRSAQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.097802208
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:07.704135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.396567291
Coefficient of variation (CV)0.4508251972
Kurtosis4.262919003
Mean3.097802208
Median Absolute Deviation (MAD)1
Skewness1.319590099
Sum2347815
Variance1.950400199
MonotocityNot monotonic
2020-11-30T23:54:07.786100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
328352631.8%
 
215139417.0%
 
414366816.1%
 
1839789.4%
 
5805459.0%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1839789.4%
 
215139417.0%
 
328352631.8%
 
414366816.1%
 
5805459.0%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5805459.0%
 
414366816.1%
 
328352631.8%
 
215139417.0%
 
1839789.4%
 

KBA05_KRSHERST1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.049426241
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:07.872893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.308094572
Coefficient of variation (CV)0.428964162
Kurtosis6.300932374
Mean3.049426241
Median Absolute Deviation (MAD)1
Skewness1.671382619
Sum2311151
Variance1.71111141
MonotocityNot monotonic
2020-11-30T23:54:07.956828image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
329910333.6%
 
217476419.6%
 
416178018.2%
 
1633007.1%
 
5441645.0%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1633007.1%
 
217476419.6%
 
329910333.6%
 
416178018.2%
 
5441645.0%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5441645.0%
 
416178018.2%
 
329910333.6%
 
217476419.6%
 
1633007.1%
 

KBA05_KRSHERST2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.078737612
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:08.045121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.345042929
Coefficient of variation (CV)0.4368813124
Kurtosis5.334440767
Mean3.078737612
Median Absolute Deviation (MAD)1
Skewness1.505259342
Sum2333366
Variance1.80914048
MonotocityNot monotonic
2020-11-30T23:54:08.126080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
329789633.4%
 
216000218.0%
 
415243717.1%
 
1717578.1%
 
5610196.8%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1717578.1%
 
216000218.0%
 
329789633.4%
 
415243717.1%
 
5610196.8%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5610196.8%
 
415243717.1%
 
329789633.4%
 
216000218.0%
 
1717578.1%
 

KBA05_KRSHERST3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.153801902
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:08.213317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.362344591
Coefficient of variation (CV)0.4319689799
Kurtosis4.653006626
Mean3.153801902
Median Absolute Deviation (MAD)1
Skewness1.395410837
Sum2390257
Variance1.855982783
MonotocityNot monotonic
2020-11-30T23:54:08.294707image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
329329832.9%
 
215460917.3%
 
414771716.6%
 
5824299.2%
 
1650587.3%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1650587.3%
 
215460917.3%
 
329329832.9%
 
414771716.6%
 
5824299.2%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5824299.2%
 
414771716.6%
 
329329832.9%
 
215460917.3%
 
1650587.3%
 

KBA05_KRSKLEIN
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Memory size6.8 MiB
2
436383 
1
156643 
3
150085 
9
 
14786
ValueCountFrequency (%) 
243638349.0%
 
115664317.6%
 
315008516.8%
 
9147861.7%
 
(Missing)13332415.0%
 
2020-11-30T23:54:08.398761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters8
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.75789728.3%
 
075789728.3%
 
243638316.3%
 
n26664810.0%
 
11566435.9%
 
31500855.6%
 
a1333245.0%
 
9147860.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number151579456.7%
 
Other Punctuation75789728.3%
 
Lowercase Letter39997215.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
075789750.0%
 
243638328.8%
 
115664310.3%
 
31500859.9%
 
9147861.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.757897100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common227369185.0%
 
Latin39997215.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
.75789733.3%
 
075789733.3%
 
243638319.2%
 
11566436.9%
 
31500856.6%
 
9147860.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.75789728.3%
 
075789728.3%
 
243638316.3%
 
n26664810.0%
 
11566435.9%
 
31500855.6%
 
a1333245.0%
 
9147860.6%
 

KBA05_KRSOBER
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Memory size6.8 MiB
2
464492 
1
152048 
3
126571 
9
 
14786
ValueCountFrequency (%) 
246449252.1%
 
115204817.1%
 
312657114.2%
 
9147861.7%
 
(Missing)13332415.0%
 
2020-11-30T23:54:08.496011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters8
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.75789728.3%
 
075789728.3%
 
246449217.4%
 
n26664810.0%
 
11520485.7%
 
a1333245.0%
 
31265714.7%
 
9147860.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number151579456.7%
 
Other Punctuation75789728.3%
 
Lowercase Letter39997215.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
075789750.0%
 
246449230.6%
 
115204810.0%
 
31265718.4%
 
9147861.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.757897100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common227369185.0%
 
Latin39997215.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
.75789733.3%
 
075789733.3%
 
246449220.4%
 
11520486.7%
 
31265715.6%
 
9147860.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.75789728.3%
 
075789728.3%
 
246449217.4%
 
n26664810.0%
 
11520485.7%
 
a1333245.0%
 
31265714.7%
 
9147860.6%
 

KBA05_KRSVAN
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Memory size6.8 MiB
2
492053 
1
125937 
3
125121 
9
 
14786
ValueCountFrequency (%) 
249205355.2%
 
112593714.1%
 
312512114.0%
 
9147861.7%
 
(Missing)13332415.0%
 
2020-11-30T23:54:08.595354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters8
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.75789728.3%
 
075789728.3%
 
249205318.4%
 
n26664810.0%
 
a1333245.0%
 
11259374.7%
 
31251214.7%
 
9147860.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number151579456.7%
 
Other Punctuation75789728.3%
 
Lowercase Letter39997215.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
075789750.0%
 
249205332.5%
 
11259378.3%
 
31251218.3%
 
9147861.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.757897100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common227369185.0%
 
Latin39997215.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
.75789733.3%
 
075789733.3%
 
249205321.6%
 
11259375.5%
 
31251215.5%
 
9147860.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.75789728.3%
 
075789728.3%
 
249205318.4%
 
n26664810.0%
 
a1333245.0%
 
11259374.7%
 
31251214.7%
 
9147860.6%
 

KBA05_KRSZUL
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Memory size6.8 MiB
2
380095 
1
208542 
3
154474 
9
 
14786
ValueCountFrequency (%) 
238009542.6%
 
120854223.4%
 
315447417.3%
 
9147861.7%
 
(Missing)13332415.0%
 
2020-11-30T23:54:08.693431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters8
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.75789728.3%
 
075789728.3%
 
238009514.2%
 
n26664810.0%
 
12085427.8%
 
31544745.8%
 
a1333245.0%
 
9147860.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number151579456.7%
 
Other Punctuation75789728.3%
 
Lowercase Letter39997215.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
075789750.0%
 
238009525.1%
 
120854213.8%
 
315447410.2%
 
9147861.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.757897100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common227369185.0%
 
Latin39997215.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
.75789733.3%
 
075789733.3%
 
238009516.7%
 
12085429.2%
 
31544746.8%
 
9147860.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.75789728.3%
 
075789728.3%
 
238009514.2%
 
n26664810.0%
 
12085427.8%
 
31544745.8%
 
a1333245.0%
 
9147860.6%
 

KBA05_KW1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.093549651
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:08.784530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.376705634
Coefficient of variation (CV)0.4450245799
Kurtosis4.622012925
Mean3.093549651
Median Absolute Deviation (MAD)1
Skewness1.374340187
Sum2344592
Variance1.895318403
MonotocityNot monotonic
2020-11-30T23:54:08.863523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327485630.8%
 
416052218.0%
 
216022118.0%
 
1782858.8%
 
5692277.8%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1782858.8%
 
216022118.0%
 
327485630.8%
 
416052218.0%
 
5692277.8%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5692277.8%
 
416052218.0%
 
327485630.8%
 
216022118.0%
 
1782858.8%
 

KBA05_KW2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.113673758
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:08.952654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.333745429
Coefficient of variation (CV)0.4283510519
Kurtosis5.42141859
Mean3.113673758
Median Absolute Deviation (MAD)1
Skewness1.519288668
Sum2359844
Variance1.778876871
MonotocityNot monotonic
2020-11-30T23:54:09.034252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
330624634.4%
 
215517217.4%
 
415208117.1%
 
5649387.3%
 
1646747.3%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1646747.3%
 
215517217.4%
 
330624634.4%
 
415208117.1%
 
5649387.3%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5649387.3%
 
415208117.1%
 
330624634.4%
 
215517217.4%
 
1646747.3%
 

KBA05_KW3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.551242451
Minimum0
Maximum9
Zeros206843
Zeros (%)23.2%
Memory size6.8 MiB
2020-11-30T23:54:09.125451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.607972827
Coefficient of variation (CV)1.036570928
Kurtosis6.73297499
Mean1.551242451
Median Absolute Deviation (MAD)1
Skewness2.051198073
Sum1175682
Variance2.585576613
MonotocityNot monotonic
2020-11-30T23:54:09.197623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
123351826.2%
 
020684323.2%
 
216077618.0%
 
3803589.0%
 
4616166.9%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
020684323.2%
 
123351826.2%
 
216077618.0%
 
3803589.0%
 
4616166.9%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
4616166.9%
 
3803589.0%
 
216077618.0%
 
123351826.2%
 
020684323.2%
 

KBA05_MAXAH
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.386927247
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:09.275771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.493681605
Coefficient of variation (CV)0.441013785
Kurtosis1.866738547
Mean3.386927247
Median Absolute Deviation (MAD)1
Skewness0.8931149915
Sum2566942
Variance2.231084737
MonotocityNot monotonic
2020-11-30T23:54:09.354071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
320915723.5%
 
519503621.9%
 
218570820.8%
 
410219711.5%
 
1510135.7%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1510135.7%
 
218570820.8%
 
320915723.5%
 
410219711.5%
 
519503621.9%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
519503621.9%
 
410219711.5%
 
320915723.5%
 
218570820.8%
 
1510135.7%
 

KBA05_MAXBJ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.444594714
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:09.438262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.496390809
Coefficient of variation (CV)0.612122247
Kurtosis4.773642099
Mean2.444594714
Median Absolute Deviation (MAD)1
Skewness1.61456816
Sum1852751
Variance2.239185454
MonotocityNot monotonic
2020-11-30T23:54:09.516206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
125691728.8%
 
418753821.0%
 
218336020.6%
 
311529612.9%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
125691728.8%
 
218336020.6%
 
311529612.9%
 
418753821.0%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
418753821.0%
 
311529612.9%
 
218336020.6%
 
125691728.8%
 

KBA05_MAXHERST
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.869009905
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:09.600511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.403278056
Coefficient of variation (CV)0.4891157935
Kurtosis5.020068157
Mean2.869009905
Median Absolute Deviation (MAD)1
Skewness1.667795932
Sum2174414
Variance1.969189303
MonotocityNot monotonic
2020-11-30T23:54:09.682639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
227072930.4%
 
320945023.5%
 
411643613.1%
 
1816739.2%
 
5648237.3%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1816739.2%
 
227072930.4%
 
320945023.5%
 
411643613.1%
 
5648237.3%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5648237.3%
 
411643613.1%
 
320945023.5%
 
227072930.4%
 
1816739.2%
 

KBA05_MAXSEG
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.2782766
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:09.771209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.318311175
Coefficient of variation (CV)0.5786440395
Kurtosis10.70859684
Mean2.2782766
Median Absolute Deviation (MAD)1
Skewness2.578766503
Sum1726699
Variance1.737944354
MonotocityNot monotonic
2020-11-30T23:54:09.849400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
229918033.6%
 
120283522.8%
 
317195419.3%
 
4691427.8%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
120283522.8%
 
229918033.6%
 
317195419.3%
 
4691427.8%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
4691427.8%
 
317195419.3%
 
229918033.6%
 
120283522.8%
 

KBA05_MAXVORB
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Memory size6.8 MiB
2
323300 
3
240866 
1
178945 
9
 
14786
ValueCountFrequency (%) 
232330036.3%
 
324086627.0%
 
117894520.1%
 
9147861.7%
 
(Missing)13332415.0%
 
2020-11-30T23:54:09.955776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters8
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.75789728.3%
 
075789728.3%
 
232330012.1%
 
n26664810.0%
 
32408669.0%
 
11789456.7%
 
a1333245.0%
 
9147860.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number151579456.7%
 
Other Punctuation75789728.3%
 
Lowercase Letter39997215.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
075789750.0%
 
232330021.3%
 
324086615.9%
 
117894511.8%
 
9147861.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.757897100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common227369185.0%
 
Latin39997215.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
.75789733.3%
 
075789733.3%
 
232330014.2%
 
324086610.6%
 
11789457.9%
 
9147860.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.75789728.3%
 
075789728.3%
 
232330012.1%
 
n26664810.0%
 
32408669.0%
 
11789456.7%
 
a1333245.0%
 
9147860.6%
 

KBA05_MOD1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.437353625
Minimum0
Maximum9
Zeros286087
Zeros (%)32.1%
Memory size6.8 MiB
2020-11-30T23:54:10.044941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.643943428
Coefficient of variation (CV)1.143729282
Kurtosis6.428397969
Mean1.437353625
Median Absolute Deviation (MAD)1
Skewness1.990841241
Sum1089366
Variance2.702549996
MonotocityNot monotonic
2020-11-30T23:54:10.122911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
028608732.1%
 
218075520.3%
 
114085415.8%
 
3877329.8%
 
4476835.4%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
028608732.1%
 
114085415.8%
 
218075520.3%
 
3877329.8%
 
4476835.4%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
4476835.4%
 
3877329.8%
 
218075520.3%
 
114085415.8%
 
028608732.1%
 

KBA05_MOD2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.091425352
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:10.203506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.328794005
Coefficient of variation (CV)0.4298321497
Kurtosis5.625205848
Mean3.091425352
Median Absolute Deviation (MAD)1
Skewness1.551614525
Sum2342982
Variance1.765693507
MonotocityNot monotonic
2020-11-30T23:54:10.284520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
330120733.8%
 
216099918.1%
 
415745617.7%
 
1656957.4%
 
5577546.5%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1656957.4%
 
216099918.1%
 
330120733.8%
 
415745617.7%
 
5577546.5%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5577546.5%
 
415745617.7%
 
330120733.8%
 
216099918.1%
 
1656957.4%
 

KBA05_MOD3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.096056588
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:10.372510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.350524022
Coefficient of variation (CV)0.4362077964
Kurtosis5.111468739
Mean3.096056588
Median Absolute Deviation (MAD)1
Skewness1.470423137
Sum2346492
Variance1.823915134
MonotocityNot monotonic
2020-11-30T23:54:10.451116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327674831.1%
 
217040319.1%
 
416573618.6%
 
1679247.6%
 
5623007.0%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1679247.6%
 
217040319.1%
 
327674831.1%
 
416573618.6%
 
5623007.0%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5623007.0%
 
416573618.6%
 
327674831.1%
 
217040319.1%
 
1679247.6%
 

KBA05_MOD4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.832566958
Minimum0
Maximum9
Zeros50590
Zeros (%)5.7%
Memory size6.8 MiB
2020-11-30T23:54:10.538758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.612726735
Coefficient of variation (CV)0.5693516725
Kurtosis2.432672245
Mean2.832566958
Median Absolute Deviation (MAD)1
Skewness0.834866862
Sum2146794
Variance2.600887522
MonotocityNot monotonic
2020-11-30T23:54:10.610836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
322313925.0%
 
216009418.0%
 
413080114.7%
 
19788111.0%
 
5806069.0%
 
0505905.7%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
0505905.7%
 
19788111.0%
 
216009418.0%
 
322313925.0%
 
413080114.7%
 
5806069.0%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5806069.0%
 
413080114.7%
 
322313925.0%
 
216009418.0%
 
19788111.0%
 
0505905.7%
 

KBA05_MOD8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.379413034
Minimum0
Maximum9
Zeros221889
Zeros (%)24.9%
Memory size6.8 MiB
2020-11-30T23:54:10.687762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.464158631
Coefficient of variation (CV)1.061435984
Kurtosis11.73073005
Mean1.379413034
Median Absolute Deviation (MAD)1
Skewness2.67876022
Sum1045453
Variance2.143760497
MonotocityNot monotonic
2020-11-30T23:54:10.760345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
022188924.9%
 
121731524.4%
 
221665724.3%
 
3872509.8%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
022188924.9%
 
121731524.4%
 
221665724.3%
 
3872509.8%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
3872509.8%
 
221665724.3%
 
121731524.4%
 
022188924.9%
 

KBA05_MODTEMP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean3.006466827
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:10.833524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.255616012
Coefficient of variation (CV)0.4176384054
Kurtosis-0.7025907215
Mean3.006466827
Median Absolute Deviation (MAD)1
Skewness-0.1950516299
Sum2399380
Variance1.576571568
MonotocityNot monotonic
2020-11-30T23:54:10.917749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
326717830.0%
 
422678225.4%
 
115166717.0%
 
2775768.7%
 
5653217.3%
 
695491.1%
 
(Missing)9314810.5%
 
ValueCountFrequency (%) 
115166717.0%
 
2775768.7%
 
326717830.0%
 
422678225.4%
 
5653217.3%
 
695491.1%
 
ValueCountFrequency (%) 
695491.1%
 
5653217.3%
 
422678225.4%
 
326717830.0%
 
2775768.7%
 
115166717.0%
 

KBA05_MOTOR
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.649656879
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:10.998276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.287217353
Coefficient of variation (CV)0.4858052992
Kurtosis9.1844137
Mean2.649656879
Median Absolute Deviation (MAD)1
Skewness2.143872587
Sum2008167
Variance1.656928514
MonotocityNot monotonic
2020-11-30T23:54:11.081432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
328985832.5%
 
222211924.9%
 
112108513.6%
 
411004912.3%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
112108513.6%
 
222211924.9%
 
328985832.5%
 
411004912.3%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
411004912.3%
 
328985832.5%
 
222211924.9%
 
112108513.6%
 

KBA05_MOTRAD
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.163317707
Minimum0
Maximum9
Zeros204268
Zeros (%)22.9%
Memory size6.8 MiB
2020-11-30T23:54:11.178752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.359158799
Coefficient of variation (CV)1.16834704
Kurtosis16.75147053
Mean1.163317707
Median Absolute Deviation (MAD)0
Skewness3.435602854
Sum881675
Variance1.84731264
MonotocityNot monotonic
2020-11-30T23:54:11.254612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
139211744.0%
 
020426822.9%
 
2742508.3%
 
3740508.3%
 
9132121.5%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
020426822.9%
 
139211744.0%
 
2742508.3%
 
3740508.3%
 
9132121.5%
 
ValueCountFrequency (%) 
9132121.5%
 
3740508.3%
 
2742508.3%
 
139211744.0%
 
020426822.9%
 

KBA05_SEG1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.233540969
Minimum0
Maximum9
Zeros246416
Zeros (%)27.6%
Memory size6.8 MiB
2020-11-30T23:54:11.337885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.441902818
Coefficient of variation (CV)1.168913603
Kurtosis13.79186084
Mean1.233540969
Median Absolute Deviation (MAD)1
Skewness3.025098484
Sum934897
Variance2.079083738
MonotocityNot monotonic
2020-11-30T23:54:11.410740image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
125117628.2%
 
024641627.6%
 
218591020.9%
 
3596096.7%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
024641627.6%
 
125117628.2%
 
218591020.9%
 
3596096.7%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
3596096.7%
 
218591020.9%
 
125117628.2%
 
024641627.6%
 

KBA05_SEG10
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.005177485
Minimum0
Maximum9
Zeros111769
Zeros (%)12.5%
Memory size6.8 MiB
2020-11-30T23:54:11.491167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.508828219
Coefficient of variation (CV)0.7524661684
Kurtosis6.803474938
Mean2.005177485
Median Absolute Deviation (MAD)1
Skewness1.788125524
Sum1519718
Variance2.276562594
MonotocityNot monotonic
2020-11-30T23:54:11.563893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
226774430.0%
 
115152417.0%
 
314866416.7%
 
011176912.5%
 
4634107.1%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
011176912.5%
 
115152417.0%
 
226774430.0%
 
314866416.7%
 
4634107.1%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
4634107.1%
 
314866416.7%
 
226774430.0%
 
115152417.0%
 
011176912.5%
 

KBA05_SEG2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.098729775
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:11.640474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.332420964
Coefficient of variation (CV)0.4299894023
Kurtosis5.51844035
Mean3.098729775
Median Absolute Deviation (MAD)1
Skewness1.508051417
Sum2348518
Variance1.775345624
MonotocityNot monotonic
2020-11-30T23:54:11.721351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
330042333.7%
 
416424218.4%
 
215246917.1%
 
1694047.8%
 
5565736.3%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1694047.8%
 
215246917.1%
 
330042333.7%
 
416424218.4%
 
5565736.3%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5565736.3%
 
416424218.4%
 
330042333.7%
 
215246917.1%
 
1694047.8%
 

KBA05_SEG3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.086683283
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:11.809502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.343910335
Coefficient of variation (CV)0.4353897735
Kurtosis5.272531063
Mean3.086683283
Median Absolute Deviation (MAD)1
Skewness1.525636513
Sum2339388
Variance1.80609499
MonotocityNot monotonic
2020-11-30T23:54:11.888721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327126630.4%
 
218440720.7%
 
416397618.4%
 
1623787.0%
 
5610846.9%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1623787.0%
 
218440720.7%
 
327126630.4%
 
416397618.4%
 
5610846.9%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5610846.9%
 
416397618.4%
 
327126630.4%
 
218440720.7%
 
1623787.0%
 

KBA05_SEG4
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.104275383
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:11.977556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.317708542
Coefficient of variation (CV)0.424481845
Kurtosis5.840678163
Mean3.104275383
Median Absolute Deviation (MAD)1
Skewness1.596864651
Sum2352721
Variance1.736355801
MonotocityNot monotonic
2020-11-30T23:54:12.058936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
332299136.2%
 
215252217.1%
 
414366416.1%
 
1621747.0%
 
5617606.9%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1621747.0%
 
215252217.1%
 
332299136.2%
 
414366416.1%
 
5617606.9%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5617606.9%
 
414366416.1%
 
332299136.2%
 
215252217.1%
 
1621747.0%
 

KBA05_SEG5
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.597991548
Minimum0
Maximum9
Zeros182816
Zeros (%)20.5%
Memory size6.8 MiB
2020-11-30T23:54:12.149730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.567610921
Coefficient of variation (CV)0.9809882435
Kurtosis7.412300162
Mean1.597991548
Median Absolute Deviation (MAD)1
Skewness2.112108964
Sum1211113
Variance2.457404001
MonotocityNot monotonic
2020-11-30T23:54:12.228048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
123509326.4%
 
218342420.6%
 
018281620.5%
 
39101410.2%
 
4507645.7%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
018281620.5%
 
123509326.4%
 
218342420.6%
 
39101410.2%
 
4507645.7%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
4507645.7%
 
39101410.2%
 
218342420.6%
 
123509326.4%
 
018281620.5%
 

KBA05_SEG6
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Memory size6.8 MiB
0
654630 
1
88481 
9
 
14786
ValueCountFrequency (%) 
065463073.5%
 
1884819.9%
 
9147861.7%
 
(Missing)13332415.0%
 
2020-11-30T23:54:12.328066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters6
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0141252752.8%
 
.75789728.3%
 
n26664810.0%
 
a1333245.0%
 
1884813.3%
 
9147860.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number151579456.7%
 
Other Punctuation75789728.3%
 
Lowercase Letter39997215.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0141252793.2%
 
1884815.8%
 
9147861.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.757897100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common227369185.0%
 
Latin39997215.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n26664866.7%
 
a13332433.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
0141252762.1%
 
.75789733.3%
 
1884813.9%
 
9147860.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0141252752.8%
 
.75789728.3%
 
n26664810.0%
 
a1333245.0%
 
1884813.3%
 
9147860.6%
 

KBA05_SEG7
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean0.988600034
Minimum0
Maximum9
Zeros368086
Zeros (%)41.3%
Memory size6.8 MiB
2020-11-30T23:54:12.415528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.477921357
Coefficient of variation (CV)1.494963895
Kurtosis14.20945205
Mean0.988600034
Median Absolute Deviation (MAD)1
Skewness3.188133864
Sum749257
Variance2.184251539
MonotocityNot monotonic
2020-11-30T23:54:12.487769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
036808641.3%
 
118386020.6%
 
214117215.8%
 
3499935.6%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
036808641.3%
 
118386020.6%
 
214117215.8%
 
3499935.6%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
3499935.6%
 
214117215.8%
 
118386020.6%
 
036808641.3%
 

KBA05_SEG8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean0.9012807809
Minimum0
Maximum9
Zeros403849
Zeros (%)45.3%
Memory size6.8 MiB
2020-11-30T23:54:12.566570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.472814566
Coefficient of variation (CV)1.634135108
Kurtosis15.20686612
Mean0.9012807809
Median Absolute Deviation (MAD)0
Skewness3.360336735
Sum683078
Variance2.169182746
MonotocityNot monotonic
2020-11-30T23:54:12.639946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
040384945.3%
 
117377319.5%
 
212023613.5%
 
3452535.1%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
040384945.3%
 
117377319.5%
 
212023613.5%
 
3452535.1%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
3452535.1%
 
212023613.5%
 
117377319.5%
 
040384945.3%
 

KBA05_SEG9
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.213546168
Minimum0
Maximum9
Zeros257693
Zeros (%)28.9%
Memory size6.8 MiB
2020-11-30T23:54:12.718950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.445609194
Coefficient of variation (CV)1.191227192
Kurtosis13.78584205
Mean1.213546168
Median Absolute Deviation (MAD)1
Skewness3.02733119
Sum919743
Variance2.089785943
MonotocityNot monotonic
2020-11-30T23:54:12.791264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
025769328.9%
 
124074427.0%
 
218809721.1%
 
3565776.3%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
025769328.9%
 
124074427.0%
 
218809721.1%
 
3565776.3%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
3565776.3%
 
218809721.1%
 
124074427.0%
 
025769328.9%
 

KBA05_VORB0
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.970043423
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:12.867325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.417498462
Coefficient of variation (CV)0.4772652317
Kurtosis4.341234679
Mean2.970043423
Median Absolute Deviation (MAD)1
Skewness1.351841153
Sum2250987
Variance2.009301891
MonotocityNot monotonic
2020-11-30T23:54:12.948961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
324378027.4%
 
217320619.4%
 
416216018.2%
 
110707612.0%
 
5568896.4%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
110707612.0%
 
217320619.4%
 
324378027.4%
 
416216018.2%
 
5568896.4%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5568896.4%
 
416216018.2%
 
324378027.4%
 
217320619.4%
 
110707612.0%
 

KBA05_VORB1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.111914944
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:13.035084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.333840253
Coefficient of variation (CV)0.4286236215
Kurtosis5.433542943
Mean3.111914944
Median Absolute Deviation (MAD)1
Skewness1.522481541
Sum2358511
Variance1.779129821
MonotocityNot monotonic
2020-11-30T23:54:13.115548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
331019234.8%
 
215331917.2%
 
414870916.7%
 
5656247.4%
 
1652677.3%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1652677.3%
 
215331917.2%
 
331019234.8%
 
414870916.7%
 
5656247.4%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5656247.4%
 
414870916.7%
 
331019234.8%
 
215331917.2%
 
1652677.3%
 

KBA05_VORB2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.858848894
Minimum0
Maximum9
Zeros54357
Zeros (%)6.1%
Memory size6.8 MiB
2020-11-30T23:54:13.205070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.616102009
Coefficient of variation (CV)0.5652981563
Kurtosis2.381512426
Mean2.858848894
Median Absolute Deviation (MAD)1
Skewness0.7994660653
Sum2166713
Variance2.611785703
MonotocityNot monotonic
2020-11-30T23:54:13.279331image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
323475526.3%
 
216074218.0%
 
412023913.5%
 
5884799.9%
 
1845399.5%
 
0543576.1%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
0543576.1%
 
1845399.5%
 
216074218.0%
 
323475526.3%
 
412023913.5%
 
5884799.9%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5884799.9%
 
412023913.5%
 
323475526.3%
 
216074218.0%
 
1845399.5%
 
0543576.1%
 

KBA05_ZUL1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.101210323
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:13.355307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.33663879
Coefficient of variation (CV)0.431005527
Kurtosis5.410814299
Mean3.101210323
Median Absolute Deviation (MAD)1
Skewness1.508106285
Sum2350398
Variance1.786603254
MonotocityNot monotonic
2020-11-30T23:54:13.435473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
329937533.6%
 
415829017.8%
 
215684917.6%
 
1676617.6%
 
5609366.8%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1676617.6%
 
215684917.6%
 
329937533.6%
 
415829017.8%
 
5609366.8%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5609366.8%
 
415829017.8%
 
329937533.6%
 
215684917.6%
 
1676617.6%
 

KBA05_ZUL2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.105023506
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:13.522473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.34103811
Coefficient of variation (CV)0.4318930623
Kurtosis5.280084288
Mean3.105023506
Median Absolute Deviation (MAD)1
Skewness1.502697194
Sum2353288
Variance1.798383214
MonotocityNot monotonic
2020-11-30T23:54:13.602197image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
328861832.4%
 
216643118.7%
 
415987617.9%
 
1647347.3%
 
5634527.1%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
1647347.3%
 
216643118.7%
 
328861832.4%
 
415987617.9%
 
5634527.1%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5634527.1%
 
415987617.9%
 
328861832.4%
 
216643118.7%
 
1647347.3%
 

KBA05_ZUL3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.782602385
Minimum0
Maximum9
Zeros71287
Zeros (%)8.0%
Memory size6.8 MiB
2020-11-30T23:54:13.692181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.614415822
Coefficient of variation (CV)0.5801820016
Kurtosis2.608783159
Mean2.782602385
Median Absolute Deviation (MAD)1
Skewness0.7585536284
Sum2108926
Variance2.606338445
MonotocityNot monotonic
2020-11-30T23:54:13.764554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
322458025.2%
 
216068318.0%
 
415655117.6%
 
1738778.3%
 
0712878.0%
 
5561336.3%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
0712878.0%
 
1738778.3%
 
216068318.0%
 
322458025.2%
 
415655117.6%
 
5561336.3%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5561336.3%
 
415655117.6%
 
322458025.2%
 
216068318.0%
 
1738778.3%
 
0712878.0%
 

KBA05_ZUL4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.270412734
Minimum0
Maximum9
Zeros105584
Zeros (%)11.8%
Memory size6.8 MiB
2020-11-30T23:54:13.842798image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.733541451
Coefficient of variation (CV)0.763535821
Kurtosis2.48023893
Mean2.270412734
Median Absolute Deviation (MAD)1
Skewness1.157745692
Sum1720739
Variance3.005165962
MonotocityNot monotonic
2020-11-30T23:54:13.919768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
218312720.5%
 
117491019.6%
 
312529914.1%
 
010558411.8%
 
410035111.3%
 
5538406.0%
 
9147861.7%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
010558411.8%
 
117491019.6%
 
218312720.5%
 
312529914.1%
 
410035111.3%
 
5538406.0%
 
9147861.7%
 
ValueCountFrequency (%) 
9147861.7%
 
5538406.0%
 
410035111.3%
 
312529914.1%
 
218312720.5%
 
117491019.6%
 
010558411.8%
 

KBA13_ALTERHALTER_30
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.978738791
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:13.999205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.061121296
Coefficient of variation (CV)0.3562317379
Kurtosis-0.3731882011
Mean2.978738791
Median Absolute Deviation (MAD)1
Skewness0.03217611328
Sum2339564
Variance1.125978405
MonotocityNot monotonic
2020-11-30T23:54:14.083410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333340537.4%
 
216065318.0%
 
414712816.5%
 
1729118.2%
 
5713248.0%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1729118.2%
 
216065318.0%
 
333340537.4%
 
414712816.5%
 
5713248.0%
 
ValueCountFrequency (%) 
5713248.0%
 
414712816.5%
 
333340537.4%
 
216065318.0%
 
1729118.2%
 

KBA13_ALTERHALTER_45
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.084179058
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:14.175397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.114805084
Coefficient of variation (CV)0.3614592614
Kurtosis-0.5654276947
Mean3.084179058
Median Absolute Deviation (MAD)1
Skewness-0.01395475423
Sum2422379
Variance1.242790376
MonotocityNot monotonic
2020-11-30T23:54:14.259301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
330577534.3%
 
416159718.1%
 
215070516.9%
 
59747810.9%
 
1698667.8%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1698667.8%
 
215070516.9%
 
330577534.3%
 
416159718.1%
 
59747810.9%
 
ValueCountFrequency (%) 
59747810.9%
 
416159718.1%
 
330577534.3%
 
215070516.9%
 
1698667.8%
 

KBA13_ALTERHALTER_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.818779992
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:14.351284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.054657287
Coefficient of variation (CV)0.3741538148
Kurtosis-0.3981906612
Mean2.818779992
Median Absolute Deviation (MAD)1
Skewness0.08946759222
Sum2213929
Variance1.112301993
MonotocityNot monotonic
2020-11-30T23:54:14.435238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
332152236.1%
 
218805321.1%
 
413067314.7%
 
19382510.5%
 
5513485.8%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
19382510.5%
 
218805321.1%
 
332152236.1%
 
413067314.7%
 
5513485.8%
 
ValueCountFrequency (%) 
5513485.8%
 
413067314.7%
 
332152236.1%
 
218805321.1%
 
19382510.5%
 

KBA13_ALTERHALTER_61
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.119898755
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:14.527968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.065410583
Coefficient of variation (CV)0.3414888324
Kurtosis-0.4128051035
Mean3.119898755
Median Absolute Deviation (MAD)1
Skewness-0.06678870613
Sum2450434
Variance1.13509971
MonotocityNot monotonic
2020-11-30T23:54:14.610599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
332309636.3%
 
417742819.9%
 
213806515.5%
 
5871189.8%
 
1597146.7%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1597146.7%
 
213806515.5%
 
332309636.3%
 
417742819.9%
 
5871189.8%
 
ValueCountFrequency (%) 
5871189.8%
 
417742819.9%
 
332309636.3%
 
213806515.5%
 
1597146.7%
 

KBA13_ANTG1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.150964897
Minimum0
Maximum4
Zeros8008
Zeros (%)0.9%
Memory size6.8 MiB
2020-11-30T23:54:14.702790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9210521813
Coefficient of variation (CV)0.42820419
Kurtosis-0.6709746298
Mean2.150964897
Median Absolute Deviation (MAD)1
Skewness0.1865166011
Sum1689413
Variance0.8483371206
MonotocityNot monotonic
2020-11-30T23:54:14.788429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
229944833.6%
 
321917424.6%
 
120072322.5%
 
4580686.5%
 
080080.9%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
080080.9%
 
120072322.5%
 
229944833.6%
 
321917424.6%
 
4580686.5%
 
ValueCountFrequency (%) 
4580686.5%
 
321917424.6%
 
229944833.6%
 
120072322.5%
 
080080.9%
 

KBA13_ANTG2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.777878361
Minimum0
Maximum4
Zeros10772
Zeros (%)1.2%
Memory size6.8 MiB
2020-11-30T23:54:14.877870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9326849963
Coefficient of variation (CV)0.3357544411
Kurtosis-0.1208342677
Mean2.777878361
Median Absolute Deviation (MAD)1
Skewness-0.5026202435
Sum2181804
Variance0.8699013024
MonotocityNot monotonic
2020-11-30T23:54:14.963440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
332520736.5%
 
220799323.3%
 
418291620.5%
 
1585336.6%
 
0107721.2%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
0107721.2%
 
1585336.6%
 
220799323.3%
 
332520736.5%
 
418291620.5%
 
ValueCountFrequency (%) 
418291620.5%
 
332520736.5%
 
220799323.3%
 
1585336.6%
 
0107721.2%
 

KBA13_ANTG3
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Memory size6.8 MiB
2
251723 
1
220761 
3
178747 
0
134190 
ValueCountFrequency (%) 
225172328.2%
 
122076124.8%
 
317874720.1%
 
013419015.1%
 
(Missing)10580011.9%
 
2020-11-30T23:54:15.064193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters7
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
091961134.4%
 
.78542129.4%
 
22517239.4%
 
12207618.3%
 
n2116007.9%
 
31787476.7%
 
a1058004.0%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number157084258.8%
 
Other Punctuation78542129.4%
 
Lowercase Letter31740011.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
091961158.5%
 
225172316.0%
 
122076114.1%
 
317874711.4%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.785421100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common235626388.1%
 
Latin31740011.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
091961139.0%
 
.78542133.3%
 
225172310.7%
 
12207619.4%
 
31787477.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
091961134.4%
 
.78542129.4%
 
22517239.4%
 
12207618.3%
 
n2116007.9%
 
31787476.7%
 
a1058004.0%
 

KBA13_ANTG4
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Memory size6.8 MiB
0
380795 
1
277982 
2
126644 
ValueCountFrequency (%) 
038079542.7%
 
127798231.2%
 
212664414.2%
 
(Missing)10580011.9%
 
2020-11-30T23:54:15.154793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters6
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0116621643.6%
 
.78542129.4%
 
127798210.4%
 
n2116007.9%
 
21266444.7%
 
a1058004.0%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number157084258.8%
 
Other Punctuation78542129.4%
 
Lowercase Letter31740011.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0116621674.2%
 
127798217.7%
 
21266448.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.785421100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common235626388.1%
 
Latin31740011.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
0116621649.5%
 
.78542133.3%
 
127798211.8%
 
21266445.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0116621643.6%
 
.78542129.4%
 
127798210.4%
 
n2116007.9%
 
21266444.7%
 
a1058004.0%
 

KBA13_ANZAHL_PKW
Real number (ℝ≥0)

MISSING

Distinct1261
Distinct (%)0.2%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean619.7014391
Minimum0
Maximum2300
Zeros62
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-11-30T23:54:15.849979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile201
Q1384
median549
Q3778
95-th percentile1300
Maximum2300
Range2300
Interquartile range (IQR)394

Descriptive statistics

Standard deviation340.0343177
Coefficient of variation (CV)0.5487066776
Kurtosis2.0596211
Mean619.7014391
Median Absolute Deviation (MAD)189
Skewness1.263093879
Sum486726524
Variance115623.3372
MonotocityNot monotonic
2020-11-30T23:54:15.993924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1400117221.3%
 
150082910.9%
 
130064270.7%
 
160061350.7%
 
170037950.4%
 
180026170.3%
 
41716040.2%
 
46416040.2%
 
51916000.2%
 
53414960.2%
 
38614580.2%
 
190014500.2%
 
39514460.2%
 
48114170.2%
 
45514090.2%
 
48313930.2%
 
45213880.2%
 
41813840.2%
 
45013800.2%
 
45413800.2%
 
49413790.2%
 
45913790.2%
 
49213590.2%
 
50413400.2%
 
38713380.2%
 
Other values (1236)71923080.7%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
062< 0.1%
 
18< 0.1%
 
26< 0.1%
 
36< 0.1%
 
47< 0.1%
 
57< 0.1%
 
65< 0.1%
 
75< 0.1%
 
86< 0.1%
 
97< 0.1%
 
ValueCountFrequency (%) 
23006110.1%
 
2200307< 0.1%
 
21006510.1%
 
200011980.1%
 
190014500.2%
 
180026170.3%
 
170037950.4%
 
160061350.7%
 
150082910.9%
 
1400117221.3%
 

KBA13_AUDI
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.005442941
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:16.107269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.003597798
Coefficient of variation (CV)0.3339267515
Kurtosis-0.2392083527
Mean3.005442941
Median Absolute Deviation (MAD)1
Skewness0.02179226185
Sum2360538
Variance1.00720854
MonotocityNot monotonic
2020-11-30T23:54:16.204867image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334660638.9%
 
216287918.3%
 
415850617.8%
 
5608776.8%
 
1565536.3%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1565536.3%
 
216287918.3%
 
334660638.9%
 
415850617.8%
 
5608776.8%
 
ValueCountFrequency (%) 
5608776.8%
 
415850617.8%
 
334660638.9%
 
216287918.3%
 
1565536.3%
 

KBA13_AUTOQUOTE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.782242899
Minimum0
Maximum5
Zeros2
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-11-30T23:54:16.306854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.049191043
Coefficient of variation (CV)0.3771026044
Kurtosis-0.4172424007
Mean2.782242899
Median Absolute Deviation (MAD)1
Skewness0.06123555661
Sum2185232
Variance1.100801845
MonotocityNot monotonic
2020-11-30T23:54:16.403690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
332247836.2%
 
218612120.9%
 
413052814.6%
 
110200411.4%
 
5442885.0%
 
02< 0.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
02< 0.1%
 
110200411.4%
 
218612120.9%
 
332247836.2%
 
413052814.6%
 
5442885.0%
 
ValueCountFrequency (%) 
5442885.0%
 
413052814.6%
 
332247836.2%
 
218612120.9%
 
110200411.4%
 
02< 0.1%
 

KBA13_BAUMAX
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.019614958
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:16.498792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.510166802
Coefficient of variation (CV)0.7477498597
Kurtosis-0.4361018972
Mean2.019614958
Median Absolute Deviation (MAD)0
Skewness1.10331607
Sum1586248
Variance2.280603769
MonotocityNot monotonic
2020-11-30T23:54:16.592522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
149111855.1%
 
511547613.0%
 
2692497.8%
 
3590606.6%
 
4505185.7%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
149111855.1%
 
2692497.8%
 
3590606.6%
 
4505185.7%
 
511547613.0%
 
ValueCountFrequency (%) 
511547613.0%
 
4505185.7%
 
3590606.6%
 
2692497.8%
 
149111855.1%
 

KBA13_BJ_1999
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.987050257
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:16.695729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9623328427
Coefficient of variation (CV)0.3221682797
Kurtosis-0.1314701587
Mean2.987050257
Median Absolute Deviation (MAD)1
Skewness0.01132096294
Sum2346092
Variance0.9260845002
MonotocityNot monotonic
2020-11-30T23:54:16.794228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
335919040.3%
 
216629618.7%
 
415951317.9%
 
1510585.7%
 
5493645.5%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1510585.7%
 
216629618.7%
 
335919040.3%
 
415951317.9%
 
5493645.5%
 
ValueCountFrequency (%) 
5493645.5%
 
415951317.9%
 
335919040.3%
 
216629618.7%
 
1510585.7%
 

KBA13_BJ_2000
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.99091952
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:16.900327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99708089
Coefficient of variation (CV)0.333369348
Kurtosis-0.227519959
Mean2.99091952
Median Absolute Deviation (MAD)1
Skewness0.008451281402
Sum2349131
Variance0.9941703013
MonotocityNot monotonic
2020-11-30T23:54:16.991002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334738539.0%
 
216417918.4%
 
415956717.9%
 
1577756.5%
 
5565156.3%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1577756.5%
 
216417918.4%
 
334738539.0%
 
415956717.9%
 
5565156.3%
 
ValueCountFrequency (%) 
5565156.3%
 
415956717.9%
 
334738539.0%
 
216417918.4%
 
1577756.5%
 

KBA13_BJ_2004
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.982818132
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:17.088833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.950731195
Coefficient of variation (CV)0.318735891
Kurtosis-0.08871876063
Mean2.982818132
Median Absolute Deviation (MAD)1
Skewness0.01212959383
Sum2342768
Variance0.9038898051
MonotocityNot monotonic
2020-11-30T23:54:17.180836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
336493040.9%
 
216622818.7%
 
415770517.7%
 
1495225.6%
 
5470365.3%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1495225.6%
 
216622818.7%
 
336493040.9%
 
415770517.7%
 
5470365.3%
 
ValueCountFrequency (%) 
5470365.3%
 
415770517.7%
 
336493040.9%
 
216622818.7%
 
1495225.6%
 

KBA13_BJ_2006
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.983200093
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:17.287426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9647523107
Coefficient of variation (CV)0.3233951062
Kurtosis-0.1477449673
Mean2.983200093
Median Absolute Deviation (MAD)1
Skewness0.003641640636
Sum2343068
Variance0.930747021
MonotocityNot monotonic
2020-11-30T23:54:17.387279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
335679440.0%
 
216696018.7%
 
416079318.0%
 
1521945.9%
 
5486805.5%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1521945.9%
 
216696018.7%
 
335679440.0%
 
416079318.0%
 
5486805.5%
 
ValueCountFrequency (%) 
5486805.5%
 
416079318.0%
 
335679440.0%
 
216696018.7%
 
1521945.9%
 

KBA13_BJ_2008
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.430025426
Minimum0
Maximum5
Zeros134372
Zeros (%)15.1%
Memory size6.8 MiB
2020-11-30T23:54:17.481313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.466413072
Coefficient of variation (CV)0.6034558553
Kurtosis-0.6612136716
Mean2.430025426
Median Absolute Deviation (MAD)1
Skewness-0.2097089564
Sum1908593
Variance2.150367297
MonotocityNot monotonic
2020-11-30T23:54:17.569019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327488530.8%
 
217056419.1%
 
013437215.1%
 
4860709.7%
 
5697507.8%
 
1497805.6%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
013437215.1%
 
1497805.6%
 
217056419.1%
 
327488530.8%
 
4860709.7%
 
5697507.8%
 
ValueCountFrequency (%) 
5697507.8%
 
4860709.7%
 
327488530.8%
 
217056419.1%
 
1497805.6%
 
013437215.1%
 

KBA13_BJ_2009
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.453592405
Minimum0
Maximum5
Zeros101115
Zeros (%)11.3%
Memory size6.8 MiB
2020-11-30T23:54:17.650869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.448965335
Coefficient of variation (CV)0.5905485086
Kurtosis-0.7593634555
Mean2.453592405
Median Absolute Deviation (MAD)1
Skewness-0.1309785037
Sum1927103
Variance2.099500543
MonotocityNot monotonic
2020-11-30T23:54:17.738269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
328619832.1%
 
111990913.5%
 
211803413.2%
 
010111511.3%
 
4882939.9%
 
5718728.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
010111511.3%
 
111990913.5%
 
211803413.2%
 
328619832.1%
 
4882939.9%
 
5718728.1%
 
ValueCountFrequency (%) 
5718728.1%
 
4882939.9%
 
328619832.1%
 
211803413.2%
 
111990913.5%
 
010111511.3%
 

KBA13_BMW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.159221615
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:17.827228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.000800768
Coefficient of variation (CV)0.3167871361
Kurtosis-0.2722905035
Mean3.159221615
Median Absolute Deviation (MAD)1
Skewness0.01318550687
Sum2481319
Variance1.001602177
MonotocityNot monotonic
2020-11-30T23:54:17.917650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334619338.8%
 
417687119.8%
 
213990315.7%
 
5832499.3%
 
1392054.4%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1392054.4%
 
213990315.7%
 
334619338.8%
 
417687119.8%
 
5832499.3%
 
ValueCountFrequency (%) 
5832499.3%
 
417687119.8%
 
334619338.8%
 
213990315.7%
 
1392054.4%
 

KBA13_CCM_0_1400
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.342429092
Minimum0
Maximum5
Zeros138711
Zeros (%)15.6%
Memory size6.8 MiB
2020-11-30T23:54:18.010242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.445696683
Coefficient of variation (CV)0.6171784189
Kurtosis-0.6857091243
Mean2.342429092
Median Absolute Deviation (MAD)1
Skewness-0.1666203199
Sum1839793
Variance2.090038901
MonotocityNot monotonic
2020-11-30T23:54:18.095859image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
326831930.1%
 
217837820.0%
 
013871115.6%
 
4818859.2%
 
1600256.7%
 
5581036.5%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
013871115.6%
 
1600256.7%
 
217837820.0%
 
326831930.1%
 
4818859.2%
 
5581036.5%
 
ValueCountFrequency (%) 
5581036.5%
 
4818859.2%
 
326831930.1%
 
217837820.0%
 
1600256.7%
 
013871115.6%
 

KBA13_CCM_1000
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.426497382
Minimum0
Maximum5
Zeros103227
Zeros (%)11.6%
Memory size6.8 MiB
2020-11-30T23:54:18.176724image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.436357475
Coefficient of variation (CV)0.5919468474
Kurtosis-0.7466181288
Mean2.426497382
Median Absolute Deviation (MAD)1
Skewness-0.1360359797
Sum1905822
Variance2.063122797
MonotocityNot monotonic
2020-11-30T23:54:18.264229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
329031632.6%
 
112004013.5%
 
211921013.4%
 
010322711.6%
 
4867269.7%
 
5659027.4%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
010322711.6%
 
112004013.5%
 
211921013.4%
 
329031632.6%
 
4867269.7%
 
5659027.4%
 
ValueCountFrequency (%) 
5659027.4%
 
4867269.7%
 
329031632.6%
 
211921013.4%
 
112004013.5%
 
010322711.6%
 

KBA13_CCM_1200
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.329705979
Minimum0
Maximum5
Zeros145802
Zeros (%)16.4%
Memory size6.8 MiB
2020-11-30T23:54:18.346360image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.45957818
Coefficient of variation (CV)0.6265074619
Kurtosis-0.7400300325
Mean2.329705979
Median Absolute Deviation (MAD)1
Skewness-0.1848703145
Sum1829800
Variance2.130368464
MonotocityNot monotonic
2020-11-30T23:54:18.431299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327865331.3%
 
216169018.1%
 
014580216.4%
 
4816319.2%
 
1610726.9%
 
5565736.3%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
014580216.4%
 
1610726.9%
 
216169018.1%
 
327865331.3%
 
4816319.2%
 
5565736.3%
 
ValueCountFrequency (%) 
5565736.3%
 
4816319.2%
 
327865331.3%
 
216169018.1%
 
1610726.9%
 
014580216.4%
 

KBA13_CCM_1400
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.005170475
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:18.515814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9427556246
Coefficient of variation (CV)0.3137111962
Kurtosis-0.1002809285
Mean3.005170475
Median Absolute Deviation (MAD)1
Skewness0.0466803668
Sum2360324
Variance0.8887881677
MonotocityNot monotonic
2020-11-30T23:54:18.604339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
336276440.7%
 
216964019.0%
 
416120518.1%
 
5490305.5%
 
1427824.8%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1427824.8%
 
216964019.0%
 
336276440.7%
 
416120518.1%
 
5490305.5%
 
ValueCountFrequency (%) 
5490305.5%
 
416120518.1%
 
336276440.7%
 
216964019.0%
 
1427824.8%
 

KBA13_CCM_1401_2500
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.910120814
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:18.700162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9450717165
Coefficient of variation (CV)0.3247534301
Kurtosis-0.1519754313
Mean2.910120814
Median Absolute Deviation (MAD)1
Skewness-0.06479961067
Sum2285670
Variance0.8931605493
MonotocityNot monotonic
2020-11-30T23:54:18.786836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
335909340.3%
 
217452519.6%
 
415796217.7%
 
1604286.8%
 
5334133.7%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1604286.8%
 
217452519.6%
 
335909340.3%
 
415796217.7%
 
5334133.7%
 
ValueCountFrequency (%) 
5334133.7%
 
415796217.7%
 
335909340.3%
 
217452519.6%
 
1604286.8%
 

KBA13_CCM_1500
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.619311172
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:18.882577image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.419685148
Coefficient of variation (CV)0.5420070603
Kurtosis-1.453067672
Mean2.619311172
Median Absolute Deviation (MAD)1
Skewness0.1049282826
Sum2057262
Variance2.01550592
MonotocityNot monotonic
2020-11-30T23:54:18.971646image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
128773132.3%
 
420621323.1%
 
315674717.6%
 
5683267.7%
 
2664047.5%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
128773132.3%
 
2664047.5%
 
315674717.6%
 
420621323.1%
 
5683267.7%
 
ValueCountFrequency (%) 
5683267.7%
 
420621323.1%
 
315674717.6%
 
2664047.5%
 
128773132.3%
 

KBA13_CCM_1600
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.029110503
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:19.066190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9388705755
Coefficient of variation (CV)0.3099492656
Kurtosis-0.09678619446
Mean3.029110503
Median Absolute Deviation (MAD)1
Skewness0.06492293978
Sum2379127
Variance0.8814779576
MonotocityNot monotonic
2020-11-30T23:54:19.155231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
336422240.9%
 
216717118.8%
 
416342918.3%
 
5519515.8%
 
1386484.3%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1386484.3%
 
216717118.8%
 
336422240.9%
 
416342918.3%
 
5519515.8%
 
ValueCountFrequency (%) 
5519515.8%
 
416342918.3%
 
336422240.9%
 
216717118.8%
 
1386484.3%
 

KBA13_CCM_1800
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.364000963
Minimum0
Maximum5
Zeros137534
Zeros (%)15.4%
Memory size6.8 MiB
2020-11-30T23:54:19.242848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.43666166
Coefficient of variation (CV)0.6077246512
Kurtosis-0.6393064936
Mean2.364000963
Median Absolute Deviation (MAD)1
Skewness-0.202261127
Sum1856736
Variance2.063996726
MonotocityNot monotonic
2020-11-30T23:54:19.328571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327657831.0%
 
217986320.2%
 
013753415.4%
 
4815509.2%
 
5577956.5%
 
1521015.8%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
013753415.4%
 
1521015.8%
 
217986320.2%
 
327657831.0%
 
4815509.2%
 
5577956.5%
 
ValueCountFrequency (%) 
5577956.5%
 
4815509.2%
 
327657831.0%
 
217986320.2%
 
1521015.8%
 
013753415.4%
 

KBA13_CCM_2000
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.071686395
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:19.409479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9381931968
Coefficient of variation (CV)0.3054326113
Kurtosis-0.1198910189
Mean3.071686395
Median Absolute Deviation (MAD)1
Skewness0.07398909688
Sum2412567
Variance0.8802064745
MonotocityNot monotonic
2020-11-30T23:54:19.507704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
336313140.7%
 
417034219.1%
 
216092218.1%
 
5572346.4%
 
1337923.8%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1337923.8%
 
216092218.1%
 
336313140.7%
 
417034219.1%
 
5572346.4%
 
ValueCountFrequency (%) 
5572346.4%
 
417034219.1%
 
336313140.7%
 
216092218.1%
 
1337923.8%
 

KBA13_CCM_2500
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.482918078
Minimum0
Maximum5
Zeros95350
Zeros (%)10.7%
Memory size6.8 MiB
2020-11-30T23:54:19.596652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.414942642
Coefficient of variation (CV)0.5698708525
Kurtosis-0.6372071175
Mean2.482918078
Median Absolute Deviation (MAD)1
Skewness-0.1527969444
Sum1950136
Variance2.00206268
MonotocityNot monotonic
2020-11-30T23:54:19.685675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
328393231.9%
 
214453016.2%
 
110247011.5%
 
09535010.7%
 
48888510.0%
 
5702547.9%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
09535010.7%
 
110247011.5%
 
214453016.2%
 
328393231.9%
 
48888510.0%
 
5702547.9%
 
ValueCountFrequency (%) 
5702547.9%
 
48888510.0%
 
328393231.9%
 
214453016.2%
 
110247011.5%
 
09535010.7%
 

KBA13_CCM_2501
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.512177546
Minimum0
Maximum5
Zeros93403
Zeros (%)10.5%
Memory size6.8 MiB
2020-11-30T23:54:19.770337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.449422653
Coefficient of variation (CV)0.5769586849
Kurtosis-0.7464547057
Mean2.512177546
Median Absolute Deviation (MAD)1
Skewness-0.1598613993
Sum1973117
Variance2.100826027
MonotocityNot monotonic
2020-11-30T23:54:19.861396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
329476533.1%
 
112179713.7%
 
210634411.9%
 
09340310.5%
 
49122310.2%
 
5778898.7%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
09340310.5%
 
112179713.7%
 
210634411.9%
 
329476533.1%
 
49122310.2%
 
5778898.7%
 
ValueCountFrequency (%) 
5778898.7%
 
49122310.2%
 
329476533.1%
 
210634411.9%
 
112179713.7%
 
09340310.5%
 

KBA13_CCM_3000
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.583847389
Minimum0
Maximum5
Zeros56562
Zeros (%)6.3%
Memory size6.8 MiB
2020-11-30T23:54:19.945029image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.368104049
Coefficient of variation (CV)0.5294833026
Kurtosis-0.6566333737
Mean2.583847389
Median Absolute Deviation (MAD)1
Skewness-0.1149045324
Sum2029408
Variance1.871708689
MonotocityNot monotonic
2020-11-30T23:54:20.027581image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
330809934.6%
 
114927116.7%
 
210313611.6%
 
49219710.3%
 
5761568.5%
 
0565626.3%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
0565626.3%
 
114927116.7%
 
210313611.6%
 
330809934.6%
 
49219710.3%
 
5761568.5%
 
ValueCountFrequency (%) 
5761568.5%
 
49219710.3%
 
330809934.6%
 
210313611.6%
 
114927116.7%
 
0565626.3%
 

KBA13_CCM_3001
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.625874531
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:20.111368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.511502049
Coefficient of variation (CV)0.5756185345
Kurtosis-1.586258599
Mean2.625874531
Median Absolute Deviation (MAD)2
Skewness0.08580921562
Sum2062417
Variance2.284638445
MonotocityNot monotonic
2020-11-30T23:54:20.196495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
133843938.0%
 
421576024.2%
 
314744816.5%
 
5836829.4%
 
292< 0.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
133843938.0%
 
292< 0.1%
 
314744816.5%
 
421576024.2%
 
5836829.4%
 
ValueCountFrequency (%) 
5836829.4%
 
421576024.2%
 
314744816.5%
 
292< 0.1%
 
133843938.0%
 

KBA13_FAB_ASIEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.974636533
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:20.288112image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.017911283
Coefficient of variation (CV)0.3421968608
Kurtosis-0.2800479235
Mean2.974636533
Median Absolute Deviation (MAD)1
Skewness0.0392026561
Sum2336342
Variance1.036143381
MonotocityNot monotonic
2020-11-30T23:54:20.371671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334087038.2%
 
216901919.0%
 
415227817.1%
 
1624227.0%
 
5608326.8%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1624227.0%
 
216901919.0%
 
334087038.2%
 
415227817.1%
 
5608326.8%
 
ValueCountFrequency (%) 
5608326.8%
 
415227817.1%
 
334087038.2%
 
216901919.0%
 
1624227.0%
 

KBA13_FAB_SONSTIGE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.988924411
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:20.463939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.008134932
Coefficient of variation (CV)0.3372902065
Kurtosis-0.249490373
Mean2.988924411
Median Absolute Deviation (MAD)1
Skewness0.0419679122
Sum2347564
Variance1.016336041
MonotocityNot monotonic
2020-11-30T23:54:20.551445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334512438.7%
 
216748118.8%
 
415346617.2%
 
5610046.8%
 
1583466.5%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1583466.5%
 
216748118.8%
 
334512438.7%
 
415346617.2%
 
5610046.8%
 
ValueCountFrequency (%) 
5610046.8%
 
415346617.2%
 
334512438.7%
 
216748118.8%
 
1583466.5%
 

KBA13_FIAT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.128779343
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:20.643017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.001765957
Coefficient of variation (CV)0.3201778863
Kurtosis-0.2841501036
Mean3.128779343
Median Absolute Deviation (MAD)1
Skewness0.0270094667
Sum2457409
Variance1.003535032
MonotocityNot monotonic
2020-11-30T23:54:20.727316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334334738.5%
 
417402419.5%
 
214833416.6%
 
5787228.8%
 
1409944.6%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1409944.6%
 
214833416.6%
 
334334738.5%
 
417402419.5%
 
5787228.8%
 
ValueCountFrequency (%) 
5787228.8%
 
417402419.5%
 
334334738.5%
 
214833416.6%
 
1409944.6%
 

KBA13_FORD
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.00405515
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:20.820108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.040266734
Coefficient of variation (CV)0.3462874955
Kurtosis-0.3381241267
Mean3.00405515
Median Absolute Deviation (MAD)1
Skewness0.02739859434
Sum2359448
Variance1.082154878
MonotocityNot monotonic
2020-11-30T23:54:20.906637image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333517037.6%
 
216214518.2%
 
415487017.4%
 
5692337.8%
 
1640037.2%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1640037.2%
 
216214518.2%
 
333517037.6%
 
415487017.4%
 
5692337.8%
 
ValueCountFrequency (%) 
5692337.8%
 
415487017.4%
 
333517037.6%
 
216214518.2%
 
1640037.2%
 

KBA13_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.419656464
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:20.998951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.119775145
Coefficient of variation (CV)0.3274525254
Kurtosis-0.6608930065
Mean3.419656464
Median Absolute Deviation (MAD)1
Skewness-0.184296062
Sum2685870
Variance1.253896376
MonotocityNot monotonic
2020-11-30T23:54:21.080542image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
328456331.9%
 
418400320.6%
 
516747318.8%
 
210942212.3%
 
1399604.5%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1399604.5%
 
210942212.3%
 
328456331.9%
 
418400320.6%
 
516747318.8%
 
ValueCountFrequency (%) 
516747318.8%
 
418400320.6%
 
328456331.9%
 
210942212.3%
 
1399604.5%
 

KBA13_HALTER_20
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.909913282
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:21.171751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.001967599
Coefficient of variation (CV)0.3443290236
Kurtosis-0.2665768406
Mean2.909913282
Median Absolute Deviation (MAD)1
Skewness0.05825115053
Sum2285507
Variance1.00393907
MonotocityNot monotonic
2020-11-30T23:54:21.262050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333823338.0%
 
218487220.7%
 
414641616.4%
 
1660257.4%
 
5498755.6%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1660257.4%
 
218487220.7%
 
333823338.0%
 
414641616.4%
 
5498755.6%
 
ValueCountFrequency (%) 
5498755.6%
 
414641616.4%
 
333823338.0%
 
218487220.7%
 
1660257.4%
 

KBA13_HALTER_25
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.945091868
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:21.358105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.036590893
Coefficient of variation (CV)0.3519723456
Kurtosis-0.3022451426
Mean2.945091868
Median Absolute Deviation (MAD)1
Skewness0.0316235401
Sum2313137
Variance1.074520679
MonotocityNot monotonic
2020-11-30T23:54:21.448975image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334143038.3%
 
216511118.5%
 
414477116.2%
 
1727518.2%
 
5613586.9%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1727518.2%
 
216511118.5%
 
334143038.3%
 
414477116.2%
 
5613586.9%
 
ValueCountFrequency (%) 
5613586.9%
 
414477116.2%
 
334143038.3%
 
216511118.5%
 
1727518.2%
 

KBA13_HALTER_30
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.056838307
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:21.548575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.089203736
Coefficient of variation (CV)0.3563170919
Kurtosis-0.4736772624
Mean3.056838307
Median Absolute Deviation (MAD)1
Skewness0.03439205225
Sum2400905
Variance1.186364778
MonotocityNot monotonic
2020-11-30T23:54:21.640176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
332218536.2%
 
215566317.5%
 
415054116.9%
 
59095710.2%
 
1660757.4%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1660757.4%
 
215566317.5%
 
332218536.2%
 
415054116.9%
 
59095710.2%
 
ValueCountFrequency (%) 
59095710.2%
 
415054116.9%
 
332218536.2%
 
215566317.5%
 
1660757.4%
 

KBA13_HALTER_35
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.104942445
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:21.738445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.105378306
Coefficient of variation (CV)0.3560060536
Kurtosis-0.5472090563
Mean3.104942445
Median Absolute Deviation (MAD)1
Skewness-0.001353135551
Sum2438687
Variance1.2218612
MonotocityNot monotonic
2020-11-30T23:54:21.825858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
330976934.8%
 
416039618.0%
 
215103216.9%
 
510037711.3%
 
1638477.2%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1638477.2%
 
215103216.9%
 
330976934.8%
 
416039618.0%
 
510037711.3%
 
ValueCountFrequency (%) 
510037711.3%
 
416039618.0%
 
330976934.8%
 
215103216.9%
 
1638477.2%
 

KBA13_HALTER_40
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.089956851
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:21.921538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.097061913
Coefficient of variation (CV)0.3550411755
Kurtosis-0.5177672606
Mean3.089956851
Median Absolute Deviation (MAD)1
Skewness0.003366132979
Sum2426917
Variance1.203544841
MonotocityNot monotonic
2020-11-30T23:54:22.010040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
331367235.2%
 
415980017.9%
 
215198417.1%
 
59569210.7%
 
1642737.2%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1642737.2%
 
215198417.1%
 
331367235.2%
 
415980017.9%
 
59569210.7%
 
ValueCountFrequency (%) 
59569210.7%
 
415980017.9%
 
331367235.2%
 
215198417.1%
 
1642737.2%
 

KBA13_HALTER_45
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.027353483
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:22.104544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.078912779
Coefficient of variation (CV)0.3563881076
Kurtosis-0.4629912815
Mean3.027353483
Median Absolute Deviation (MAD)1
Skewness0.005442423805
Sum2377747
Variance1.164052784
MonotocityNot monotonic
2020-11-30T23:54:22.188529image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
331802835.7%
 
416004018.0%
 
215819817.8%
 
5794888.9%
 
1696677.8%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1696677.8%
 
215819817.8%
 
331802835.7%
 
416004018.0%
 
5794888.9%
 
ValueCountFrequency (%) 
5794888.9%
 
416004018.0%
 
331802835.7%
 
215819817.8%
 
1696677.8%
 

KBA13_HALTER_50
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.844839901
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:22.279227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.053111532
Coefficient of variation (CV)0.3701830573
Kurtosis-0.3851539578
Mean2.844839901
Median Absolute Deviation (MAD)1
Skewness0.07705827172
Sum2234397
Variance1.109043899
MonotocityNot monotonic
2020-11-30T23:54:22.361798image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
332507136.5%
 
218353020.6%
 
413361215.0%
 
18959110.1%
 
5536176.0%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
18959110.1%
 
218353020.6%
 
332507136.5%
 
413361215.0%
 
5536176.0%
 
ValueCountFrequency (%) 
5536176.0%
 
413361215.0%
 
332507136.5%
 
218353020.6%
 
18959110.1%
 

KBA13_HALTER_55
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.840151969
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:22.451609image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.062277003
Coefficient of variation (CV)0.3740211841
Kurtosis-0.4238710177
Mean2.840151969
Median Absolute Deviation (MAD)1
Skewness0.07484406265
Sum2230715
Variance1.12843243
MonotocityNot monotonic
2020-11-30T23:54:22.533945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
331941135.8%
 
218368520.6%
 
413554115.2%
 
19274310.4%
 
5540416.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
19274310.4%
 
218368520.6%
 
331941135.8%
 
413554115.2%
 
5540416.1%
 
ValueCountFrequency (%) 
5540416.1%
 
413554115.2%
 
331941135.8%
 
218368520.6%
 
19274310.4%
 

KBA13_HALTER_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.889782677
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:22.624826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.073687401
Coefficient of variation (CV)0.3715460716
Kurtosis-0.4378300202
Mean2.889782677
Median Absolute Deviation (MAD)1
Skewness0.05181155877
Sum2269696
Variance1.152804636
MonotocityNot monotonic
2020-11-30T23:54:22.707398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
332126636.0%
 
217297419.4%
 
414090715.8%
 
18876210.0%
 
5615126.9%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
18876210.0%
 
217297419.4%
 
332126636.0%
 
414090715.8%
 
5615126.9%
 
ValueCountFrequency (%) 
5615126.9%
 
414090715.8%
 
332126636.0%
 
217297419.4%
 
18876210.0%
 

KBA13_HALTER_65
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.126903915
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:22.797809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.044821999
Coefficient of variation (CV)0.3341394641
Kurtosis-0.3632632708
Mean3.126903915
Median Absolute Deviation (MAD)1
Skewness-0.03728899735
Sum2455936
Variance1.091653009
MonotocityNot monotonic
2020-11-30T23:54:22.881478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333136437.2%
 
417504019.6%
 
214035115.7%
 
5855799.6%
 
1530876.0%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1530876.0%
 
214035115.7%
 
333136437.2%
 
417504019.6%
 
5855799.6%
 
ValueCountFrequency (%) 
5855799.6%
 
417504019.6%
 
333136437.2%
 
214035115.7%
 
1530876.0%
 

KBA13_HALTER_66
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.103431153
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:22.972371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.07510989
Coefficient of variation (CV)0.3464262093
Kurtosis-0.4366296464
Mean3.103431153
Median Absolute Deviation (MAD)1
Skewness-0.06653728119
Sum2437500
Variance1.155861276
MonotocityNot monotonic
2020-11-30T23:54:23.054994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
332045136.0%
 
417516119.7%
 
213938615.6%
 
5865779.7%
 
1638467.2%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1638467.2%
 
213938615.6%
 
332045136.0%
 
417516119.7%
 
5865779.7%
 
ValueCountFrequency (%) 
5865779.7%
 
417516119.7%
 
332045136.0%
 
213938615.6%
 
1638467.2%
 

KBA13_HERST_ASIEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.004370904
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:23.148153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.03119335
Coefficient of variation (CV)0.3432310399
Kurtosis-0.3133049693
Mean3.004370904
Median Absolute Deviation (MAD)1
Skewness0.03072963553
Sum2359696
Variance1.063359724
MonotocityNot monotonic
2020-11-30T23:54:23.231504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333807437.9%
 
216297918.3%
 
415508417.4%
 
5674747.6%
 
1618106.9%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1618106.9%
 
216297918.3%
 
333807437.9%
 
415508417.4%
 
5674747.6%
 
ValueCountFrequency (%) 
5674747.6%
 
415508417.4%
 
333807437.9%
 
216297918.3%
 
1618106.9%
 

KBA13_HERST_AUDI_VW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.924982907
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:23.322879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.026814483
Coefficient of variation (CV)0.351049738
Kurtosis-0.315875946
Mean2.924982907
Median Absolute Deviation (MAD)1
Skewness0.02297034004
Sum2297343
Variance1.054347983
MonotocityNot monotonic
2020-11-30T23:54:23.406460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333617837.7%
 
217216019.3%
 
414932216.8%
 
1729018.2%
 
5548606.2%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1729018.2%
 
217216019.3%
 
333617837.7%
 
414932216.8%
 
5548606.2%
 
ValueCountFrequency (%) 
5548606.2%
 
414932216.8%
 
333617837.7%
 
217216019.3%
 
1729018.2%
 

KBA13_HERST_BMW_BENZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.165170017
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:23.498272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.022936535
Coefficient of variation (CV)0.3231853358
Kurtosis-0.3019088549
Mean3.165170017
Median Absolute Deviation (MAD)1
Skewness-0.03901745395
Sum2485991
Variance1.046399155
MonotocityNot monotonic
2020-11-30T23:54:23.582425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333975438.1%
 
418005220.2%
 
213307414.9%
 
5869589.8%
 
1455835.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1455835.1%
 
213307414.9%
 
333975438.1%
 
418005220.2%
 
5869589.8%
 
ValueCountFrequency (%) 
5869589.8%
 
418005220.2%
 
333975438.1%
 
213307414.9%
 
1455835.1%
 

KBA13_HERST_EUROPA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.083780546
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:23.674668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.013485243
Coefficient of variation (CV)0.3286502485
Kurtosis-0.285225135
Mean3.083780546
Median Absolute Deviation (MAD)1
Skewness0.001426402169
Sum2422066
Variance1.027152337
MonotocityNot monotonic
2020-11-30T23:54:23.759956image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334109738.3%
 
417064219.1%
 
215103716.9%
 
5728728.2%
 
1497735.6%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1497735.6%
 
215103716.9%
 
334109738.3%
 
417064219.1%
 
5728728.2%
 
ValueCountFrequency (%) 
5728728.2%
 
417064219.1%
 
334109738.3%
 
215103716.9%
 
1497735.6%
 

KBA13_HERST_FORD_OPEL
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.966992225
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:23.854066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.05817833
Coefficient of variation (CV)0.3566501865
Kurtosis-0.3972105569
Mean2.966992225
Median Absolute Deviation (MAD)1
Skewness0.01428388129
Sum2330338
Variance1.119741378
MonotocityNot monotonic
2020-11-30T23:54:23.937008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
332680536.7%
 
216400318.4%
 
415404417.3%
 
1742768.3%
 
5662937.4%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1742768.3%
 
216400318.4%
 
332680536.7%
 
415404417.3%
 
5662937.4%
 
ValueCountFrequency (%) 
5662937.4%
 
415404417.3%
 
332680536.7%
 
216400318.4%
 
1742768.3%
 

KBA13_HERST_SONST
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.988924411
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:24.028415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.008134932
Coefficient of variation (CV)0.3372902065
Kurtosis-0.249490373
Mean2.988924411
Median Absolute Deviation (MAD)1
Skewness0.0419679122
Sum2347564
Variance1.016336041
MonotocityNot monotonic
2020-11-30T23:54:24.113173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334512438.7%
 
216748118.8%
 
415346617.2%
 
5610046.8%
 
1583466.5%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1583466.5%
 
216748118.8%
 
334512438.7%
 
415346617.2%
 
5610046.8%
 
ValueCountFrequency (%) 
5610046.8%
 
415346617.2%
 
334512438.7%
 
216748118.8%
 
1583466.5%
 

KBA13_HHZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.573068456
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:24.207470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9780235791
Coefficient of variation (CV)0.2737209183
Kurtosis-0.5582166908
Mean3.573068456
Median Absolute Deviation (MAD)1
Skewness-0.080459908
Sum2806363
Variance0.9565301212
MonotocityNot monotonic
2020-11-30T23:54:24.290659image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
331996435.9%
 
421211923.8%
 
516814318.9%
 
2720858.1%
 
1131101.5%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1131101.5%
 
2720858.1%
 
331996435.9%
 
421211923.8%
 
516814318.9%
 
ValueCountFrequency (%) 
516814318.9%
 
421211923.8%
 
331996435.9%
 
2720858.1%
 
1131101.5%
 

KBA13_KMH_0_140
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.329368581
Minimum0
Maximum5
Zeros96010
Zeros (%)10.8%
Memory size6.8 MiB
2020-11-30T23:54:24.376494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.529004403
Coefficient of variation (CV)0.6564029479
Kurtosis-1.135330441
Mean2.329368581
Median Absolute Deviation (MAD)2
Skewness0.0449073815
Sum1829535
Variance2.337854465
MonotocityNot monotonic
2020-11-30T23:54:24.459392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
328356631.8%
 
123442426.3%
 
09601010.8%
 
49267010.4%
 
5720778.1%
 
266740.7%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
09601010.8%
 
123442426.3%
 
266740.7%
 
328356631.8%
 
49267010.4%
 
5720778.1%
 
ValueCountFrequency (%) 
5720778.1%
 
49267010.4%
 
328356631.8%
 
266740.7%
 
123442426.3%
 
09601010.8%
 

KBA13_KMH_110
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Memory size6.8 MiB
1
627623 
3
94175 
2
63623 
ValueCountFrequency (%) 
162762370.4%
 
39417510.6%
 
2636237.1%
 
(Missing)10580011.9%
 
2020-11-30T23:54:24.558460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters7
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.78542129.4%
 
078542129.4%
 
162762323.5%
 
n2116007.9%
 
a1058004.0%
 
3941753.5%
 
2636232.4%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number157084258.8%
 
Other Punctuation78542129.4%
 
Lowercase Letter31740011.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
078542150.0%
 
162762340.0%
 
3941756.0%
 
2636234.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.785421100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common235626388.1%
 
Latin31740011.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
.78542133.3%
 
078542133.3%
 
162762326.6%
 
3941754.0%
 
2636232.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.78542129.4%
 
078542129.4%
 
162762323.5%
 
n2116007.9%
 
a1058004.0%
 
3941753.5%
 
2636232.4%
 

KBA13_KMH_140
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.694809535
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:24.647445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.39045331
Coefficient of variation (CV)0.5159746139
Kurtosis-1.371943159
Mean2.694809535
Median Absolute Deviation (MAD)1
Skewness0.05804321828
Sum2116560
Variance1.933360406
MonotocityNot monotonic
2020-11-30T23:54:24.730311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
124977328.0%
 
420206722.7%
 
316722118.8%
 
29164810.3%
 
5747128.4%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
124977328.0%
 
29164810.3%
 
316722118.8%
 
420206722.7%
 
5747128.4%
 
ValueCountFrequency (%) 
5747128.4%
 
420206722.7%
 
316722118.8%
 
29164810.3%
 
124977328.0%
 

KBA13_KMH_140_210
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.849392873
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:24.826228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.971055401
Coefficient of variation (CV)0.3407937916
Kurtosis-0.141204956
Mean2.849392873
Median Absolute Deviation (MAD)1
Skewness0.003660951497
Sum2237973
Variance0.9429485918
MonotocityNot monotonic
2020-11-30T23:54:24.916296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
336140540.6%
 
217935420.1%
 
413319214.9%
 
1737678.3%
 
5377034.2%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1737678.3%
 
217935420.1%
 
336140540.6%
 
413319214.9%
 
5377034.2%
 
ValueCountFrequency (%) 
5377034.2%
 
413319214.9%
 
336140540.6%
 
217935420.1%
 
1737678.3%
 

KBA13_KMH_180
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.932968433
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:25.015141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9700283803
Coefficient of variation (CV)0.3307326356
Kurtosis-0.1700461121
Mean2.932968433
Median Absolute Deviation (MAD)1
Skewness-0.0246193374
Sum2303615
Variance0.9409550586
MonotocityNot monotonic
2020-11-30T23:54:25.100416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
335536339.9%
 
217029119.1%
 
415559517.5%
 
1615746.9%
 
5425984.8%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1615746.9%
 
217029119.1%
 
335536339.9%
 
415559517.5%
 
5425984.8%
 
ValueCountFrequency (%) 
5425984.8%
 
415559517.5%
 
335536339.9%
 
217029119.1%
 
1615746.9%
 

KBA13_KMH_210
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.037302288
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:25.193189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9559091031
Coefficient of variation (CV)0.3147230709
Kurtosis-0.1219089259
Mean3.037302288
Median Absolute Deviation (MAD)1
Skewness0.03738418775
Sum2385561
Variance0.9137622133
MonotocityNot monotonic
2020-11-30T23:54:25.277477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
336125940.5%
 
416484318.5%
 
216111318.1%
 
5554956.2%
 
1427114.8%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1427114.8%
 
216111318.1%
 
336125940.5%
 
416484318.5%
 
5554956.2%
 
ValueCountFrequency (%) 
5554956.2%
 
416484318.5%
 
336125940.5%
 
216111318.1%
 
1427114.8%
 

KBA13_KMH_211
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.457977314
Minimum0
Maximum5
Zeros139463
Zeros (%)15.6%
Memory size6.8 MiB
2020-11-30T23:54:25.371229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4916275
Coefficient of variation (CV)0.6068516139
Kurtosis-0.691175133
Mean2.457977314
Median Absolute Deviation (MAD)1
Skewness-0.232285257
Sum1930547
Variance2.224952599
MonotocityNot monotonic
2020-11-30T23:54:25.454982image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327745231.1%
 
216226418.2%
 
013946315.6%
 
4880439.9%
 
5758238.5%
 
1423764.8%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
013946315.6%
 
1423764.8%
 
216226418.2%
 
327745231.1%
 
4880439.9%
 
5758238.5%
 
ValueCountFrequency (%) 
5758238.5%
 
4880439.9%
 
327745231.1%
 
216226418.2%
 
1423764.8%
 
013946315.6%
 

KBA13_KMH_250
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.455954195
Minimum0
Maximum5
Zeros139756
Zeros (%)15.7%
Memory size6.8 MiB
2020-11-30T23:54:25.531938image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.490853642
Coefficient of variation (CV)0.6070364198
Kurtosis-0.6912403951
Mean2.455954195
Median Absolute Deviation (MAD)1
Skewness-0.2340187255
Sum1928958
Variance2.222644582
MonotocityNot monotonic
2020-11-30T23:54:25.613247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327829031.2%
 
216165218.1%
 
013975615.7%
 
4880559.9%
 
5752248.4%
 
1424444.8%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
013975615.7%
 
1424444.8%
 
216165218.1%
 
327829031.2%
 
4880559.9%
 
5752248.4%
 
ValueCountFrequency (%) 
5752248.4%
 
4880559.9%
 
327829031.2%
 
216165218.1%
 
1424444.8%
 
013975615.7%
 

KBA13_KMH_251
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Memory size6.8 MiB
1
674722 
3
100548 
2
 
10151
ValueCountFrequency (%) 
167472275.7%
 
310054811.3%
 
2101511.1%
 
(Missing)10580011.9%
 
2020-11-30T23:54:25.712132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters7
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.78542129.4%
 
078542129.4%
 
167472225.2%
 
n2116007.9%
 
a1058004.0%
 
31005483.8%
 
2101510.4%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number157084258.8%
 
Other Punctuation78542129.4%
 
Lowercase Letter31740011.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
078542150.0%
 
167472243.0%
 
31005486.4%
 
2101510.6%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.785421100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common235626388.1%
 
Latin31740011.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
.78542133.3%
 
078542133.3%
 
167472228.6%
 
31005484.3%
 
2101510.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.78542129.4%
 
078542129.4%
 
167472225.2%
 
n2116007.9%
 
a1058004.0%
 
31005483.8%
 
2101510.4%
 

KBA13_KRSAQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.866368483
Minimum0
Maximum5
Zeros60
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-11-30T23:54:25.798887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.062771916
Coefficient of variation (CV)0.3707729561
Kurtosis-0.4226033777
Mean2.866368483
Median Absolute Deviation (MAD)1
Skewness0.02975234482
Sum2251306
Variance1.129484145
MonotocityNot monotonic
2020-11-30T23:54:25.883957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
332409436.4%
 
217262119.4%
 
414220016.0%
 
19181210.3%
 
5546346.1%
 
060< 0.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
060< 0.1%
 
19181210.3%
 
217262119.4%
 
332409436.4%
 
414220016.0%
 
5546346.1%
 
ValueCountFrequency (%) 
5546346.1%
 
414220016.0%
 
332409436.4%
 
217262119.4%
 
19181210.3%
 
060< 0.1%
 

KBA13_KRSHERST_AUDI_VW
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.959943775
Minimum0
Maximum5
Zeros58
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-11-30T23:54:25.967553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.01152282
Coefficient of variation (CV)0.3417371737
Kurtosis-0.296252122
Mean2.959943775
Median Absolute Deviation (MAD)1
Skewness-0.0169618502
Sum2324802
Variance1.023178416
MonotocityNot monotonic
2020-11-30T23:54:26.052886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
333701037.8%
 
216755918.8%
 
416212418.2%
 
1657987.4%
 
5528725.9%
 
058< 0.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
058< 0.1%
 
1657987.4%
 
216755918.8%
 
333701037.8%
 
416212418.2%
 
5528725.9%
 
ValueCountFrequency (%) 
5528725.9%
 
416212418.2%
 
333701037.8%
 
216755918.8%
 
1657987.4%
 
058< 0.1%
 

KBA13_KRSHERST_BMW_BENZ
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.083095563
Minimum0
Maximum5
Zeros58
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-11-30T23:54:26.134351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.009634881
Coefficient of variation (CV)0.3274744038
Kurtosis-0.2669559679
Mean3.083095563
Median Absolute Deviation (MAD)1
Skewness0.03062636879
Sum2421528
Variance1.019362593
MonotocityNot monotonic
2020-11-30T23:54:26.965191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
334526438.7%
 
416504418.5%
 
215324517.2%
 
5743158.3%
 
1474955.3%
 
058< 0.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
058< 0.1%
 
1474955.3%
 
215324517.2%
 
334526438.7%
 
416504418.5%
 
5743158.3%
 
ValueCountFrequency (%) 
5743158.3%
 
416504418.5%
 
334526438.7%
 
215324517.2%
 
1474955.3%
 
058< 0.1%
 

KBA13_KRSHERST_FORD_OPEL
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.008965892
Minimum0
Maximum5
Zeros58
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-11-30T23:54:27.047763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.040945041
Coefficient of variation (CV)0.3459477702
Kurtosis-0.3612092944
Mean3.008965892
Median Absolute Deviation (MAD)1
Skewness-0.020214452
Sum2363305
Variance1.083566579
MonotocityNot monotonic
2020-11-30T23:54:27.131882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
332924036.9%
 
416603518.6%
 
215859717.8%
 
1658017.4%
 
5656907.4%
 
058< 0.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
058< 0.1%
 
1658017.4%
 
215859717.8%
 
332924036.9%
 
416603518.6%
 
5656907.4%
 
ValueCountFrequency (%) 
5656907.4%
 
416603518.6%
 
332924036.9%
 
215859717.8%
 
1658017.4%
 
058< 0.1%
 

KBA13_KRSSEG_KLEIN
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Memory size6.8 MiB
2
718366 
1
 
35557
3
 
31418
0
 
80
ValueCountFrequency (%) 
271836680.6%
 
1355574.0%
 
3314183.5%
 
080< 0.1%
 
(Missing)10580011.9%
 
2020-11-30T23:54:27.232888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters7
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
078550129.4%
 
.78542129.4%
 
271836626.9%
 
n2116007.9%
 
a1058004.0%
 
1355571.3%
 
3314181.2%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number157084258.8%
 
Other Punctuation78542129.4%
 
Lowercase Letter31740011.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
078550150.0%
 
271836645.7%
 
1355572.3%
 
3314182.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.785421100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common235626388.1%
 
Latin31740011.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
078550133.3%
 
.78542133.3%
 
271836630.5%
 
1355571.5%
 
3314181.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
078550129.4%
 
.78542129.4%
 
271836626.9%
 
n2116007.9%
 
a1058004.0%
 
1355571.3%
 
3314181.2%
 

KBA13_KRSSEG_OBER
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Memory size6.8 MiB
2
516676 
1
151665 
3
116737 
0
 
343
ValueCountFrequency (%) 
251667658.0%
 
115166517.0%
 
311673713.1%
 
0343< 0.1%
 
(Missing)10580011.9%
 
2020-11-30T23:54:27.335892image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters7
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
078576429.4%
 
.78542129.4%
 
251667619.3%
 
n2116007.9%
 
11516655.7%
 
31167374.4%
 
a1058004.0%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number157084258.8%
 
Other Punctuation78542129.4%
 
Lowercase Letter31740011.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
078576450.0%
 
251667632.9%
 
11516659.7%
 
31167377.4%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.785421100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common235626388.1%
 
Latin31740011.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
078576433.3%
 
.78542133.3%
 
251667621.9%
 
11516656.4%
 
31167375.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
078576429.4%
 
.78542129.4%
 
251667619.3%
 
n2116007.9%
 
11516655.7%
 
31167374.4%
 
a1058004.0%
 

KBA13_KRSSEG_VAN
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Memory size6.8 MiB
2
487626 
1
169327 
3
127767 
0
 
701
ValueCountFrequency (%) 
248762654.7%
 
116932719.0%
 
312776714.3%
 
07010.1%
 
(Missing)10580011.9%
 
2020-11-30T23:54:27.436608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters7
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
078612229.4%
 
.78542129.4%
 
248762618.2%
 
n2116007.9%
 
11693276.3%
 
31277674.8%
 
a1058004.0%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number157084258.8%
 
Other Punctuation78542129.4%
 
Lowercase Letter31740011.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
078612250.0%
 
248762631.0%
 
116932710.8%
 
31277678.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.785421100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common235626388.1%
 
Latin31740011.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
078612233.4%
 
.78542133.3%
 
248762620.7%
 
11693277.2%
 
31277675.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
078612229.4%
 
.78542129.4%
 
248762618.2%
 
n2116007.9%
 
11693276.3%
 
31277674.8%
 
a1058004.0%
 

KBA13_KRSZUL_NEU
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Memory size6.8 MiB
2
378304 
1
222157 
3
153623 
0
 
31337
ValueCountFrequency (%) 
237830442.4%
 
122215724.9%
 
315362317.2%
 
0313373.5%
 
(Missing)10580011.9%
 
2020-11-30T23:54:27.535089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters7
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
081675830.5%
 
.78542129.4%
 
237830414.1%
 
12221578.3%
 
n2116007.9%
 
31536235.7%
 
a1058004.0%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number157084258.8%
 
Other Punctuation78542129.4%
 
Lowercase Letter31740011.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
081675852.0%
 
237830424.1%
 
122215714.1%
 
31536239.8%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.785421100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common235626388.1%
 
Latin31740011.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
081675834.7%
 
.78542133.3%
 
237830416.1%
 
12221579.4%
 
31536236.5%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
081675830.5%
 
.78542129.4%
 
237830414.1%
 
12221578.3%
 
n2116007.9%
 
31536235.7%
 
a1058004.0%
 

KBA13_KW_0_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.977746966
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:27.620057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9681799624
Coefficient of variation (CV)0.3251384262
Kurtosis-0.1479921158
Mean2.977746966
Median Absolute Deviation (MAD)1
Skewness-0.004477006897
Sum2338785
Variance0.9373724396
MonotocityNot monotonic
2020-11-30T23:54:27.708149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
335732140.1%
 
216555718.6%
 
415970317.9%
 
1543266.1%
 
5485145.4%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1543266.1%
 
216555718.6%
 
335732140.1%
 
415970317.9%
 
5485145.4%
 
ValueCountFrequency (%) 
5485145.4%
 
415970317.9%
 
335732140.1%
 
216555718.6%
 
1543266.1%
 

KBA13_KW_110
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.404902594
Minimum0
Maximum5
Zeros124216
Zeros (%)13.9%
Memory size6.8 MiB
2020-11-30T23:54:27.796034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.429197979
Coefficient of variation (CV)0.5942851834
Kurtosis-0.6151255069
Mean2.404902594
Median Absolute Deviation (MAD)1
Skewness-0.1867778177
Sum1888861
Variance2.042606863
MonotocityNot monotonic
2020-11-30T23:54:27.877806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327567930.9%
 
217541819.7%
 
012421613.9%
 
4837809.4%
 
1639437.2%
 
5623857.0%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
012421613.9%
 
1639437.2%
 
217541819.7%
 
327567930.9%
 
4837809.4%
 
5623857.0%
 
ValueCountFrequency (%) 
5623857.0%
 
4837809.4%
 
327567930.9%
 
217541819.7%
 
1639437.2%
 
012421613.9%
 

KBA13_KW_120
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.376123124
Minimum0
Maximum5
Zeros85028
Zeros (%)9.5%
Memory size6.8 MiB
2020-11-30T23:54:27.957655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.505369925
Coefficient of variation (CV)0.6335403707
Kurtosis-1.085804921
Mean2.376123124
Median Absolute Deviation (MAD)1
Skewness0.02742583434
Sum1866257
Variance2.26613861
MonotocityNot monotonic
2020-11-30T23:54:28.040442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
328141531.6%
 
122670925.4%
 
49477410.6%
 
0850289.5%
 
5737398.3%
 
2237562.7%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
0850289.5%
 
122670925.4%
 
2237562.7%
 
328141531.6%
 
49477410.6%
 
5737398.3%
 
ValueCountFrequency (%) 
5737398.3%
 
49477410.6%
 
328141531.6%
 
2237562.7%
 
122670925.4%
 
0850289.5%
 

KBA13_KW_121
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.506342458
Minimum0
Maximum5
Zeros95195
Zeros (%)10.7%
Memory size6.8 MiB
2020-11-30T23:54:28.118146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.437424207
Coefficient of variation (CV)0.5735146857
Kurtosis-0.6820698445
Mean2.506342458
Median Absolute Deviation (MAD)1
Skewness-0.1469732264
Sum1968534
Variance2.066188352
MonotocityNot monotonic
2020-11-30T23:54:28.199117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
328284531.7%
 
213503315.2%
 
110570611.9%
 
09519510.7%
 
48898310.0%
 
5776598.7%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
09519510.7%
 
110570611.9%
 
213503315.2%
 
328284531.7%
 
48898310.0%
 
5776598.7%
 
ValueCountFrequency (%) 
5776598.7%
 
48898310.0%
 
328284531.7%
 
213503315.2%
 
110570611.9%
 
09519510.7%
 

KBA13_KW_30
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Memory size6.8 MiB
1
554887 
2
142986 
3
87548 
ValueCountFrequency (%) 
155488762.3%
 
214298616.0%
 
3875489.8%
 
(Missing)10580011.9%
 
2020-11-30T23:54:28.292881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters7
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.78542129.4%
 
078542129.4%
 
155488720.8%
 
n2116007.9%
 
21429865.3%
 
a1058004.0%
 
3875483.3%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number157084258.8%
 
Other Punctuation78542129.4%
 
Lowercase Letter31740011.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
078542150.0%
 
155488735.3%
 
21429869.1%
 
3875485.6%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.785421100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common235626388.1%
 
Latin31740011.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
.78542133.3%
 
078542133.3%
 
155488723.5%
 
21429866.1%
 
3875483.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.78542129.4%
 
078542129.4%
 
155488720.8%
 
n2116007.9%
 
21429865.3%
 
a1058004.0%
 
3875483.3%
 

KBA13_KW_40
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.405065564
Minimum0
Maximum5
Zeros99260
Zeros (%)11.1%
Memory size6.8 MiB
2020-11-30T23:54:28.372329image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.412106484
Coefficient of variation (CV)0.5871384571
Kurtosis-0.7035299729
Mean2.405065564
Median Absolute Deviation (MAD)1
Skewness-0.1112622062
Sum1888989
Variance1.994044723
MonotocityNot monotonic
2020-11-30T23:54:28.453804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
328308431.8%
 
213545615.2%
 
112106013.6%
 
09926011.1%
 
4850409.5%
 
5615216.9%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
09926011.1%
 
112106013.6%
 
213545615.2%
 
328308431.8%
 
4850409.5%
 
5615216.9%
 
ValueCountFrequency (%) 
5615216.9%
 
4850409.5%
 
328308431.8%
 
213545615.2%
 
112106013.6%
 
09926011.1%
 

KBA13_KW_50
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.340691171
Minimum0
Maximum5
Zeros143215
Zeros (%)16.1%
Memory size6.8 MiB
2020-11-30T23:54:28.530292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.441927482
Coefficient of variation (CV)0.6160263686
Kurtosis-0.6654361611
Mean2.340691171
Median Absolute Deviation (MAD)1
Skewness-0.1965794704
Sum1838428
Variance2.079154863
MonotocityNot monotonic
2020-11-30T23:54:28.611541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327392030.7%
 
218154520.4%
 
014321516.1%
 
4810079.1%
 
5559546.3%
 
1497805.6%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
014321516.1%
 
1497805.6%
 
218154520.4%
 
327392030.7%
 
4810079.1%
 
5559546.3%
 
ValueCountFrequency (%) 
5559546.3%
 
4810079.1%
 
327392030.7%
 
218154520.4%
 
1497805.6%
 
014321516.1%
 

KBA13_KW_60
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.291350753
Minimum0
Maximum5
Zeros132144
Zeros (%)14.8%
Memory size6.8 MiB
2020-11-30T23:54:28.688226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.411953977
Coefficient of variation (CV)0.6162103181
Kurtosis-0.6772758285
Mean2.291350753
Median Absolute Deviation (MAD)1
Skewness-0.1356137415
Sum1799675
Variance1.993614032
MonotocityNot monotonic
2020-11-30T23:54:28.769241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
326783230.1%
 
217852420.0%
 
013214414.8%
 
1792648.9%
 
4784188.8%
 
5492395.5%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
013214414.8%
 
1792648.9%
 
217852420.0%
 
326783230.1%
 
4784188.8%
 
5492395.5%
 
ValueCountFrequency (%) 
5492395.5%
 
4784188.8%
 
326783230.1%
 
217852420.0%
 
1792648.9%
 
013214414.8%
 

KBA13_KW_61_120
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.996188032
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:28.849762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.957387381
Coefficient of variation (CV)0.3195351463
Kurtosis-0.1183664025
Mean2.996188032
Median Absolute Deviation (MAD)1
Skewness0.00901129231
Sum2353269
Variance0.9165905973
MonotocityNot monotonic
2020-11-30T23:54:28.938576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
336088140.5%
 
216469918.5%
 
416138118.1%
 
5493115.5%
 
1491495.5%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1491495.5%
 
216469918.5%
 
336088140.5%
 
416138118.1%
 
5493115.5%
 
ValueCountFrequency (%) 
5493115.5%
 
416138118.1%
 
336088140.5%
 
216469918.5%
 
1491495.5%
 

KBA13_KW_70
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.336340638
Minimum0
Maximum5
Zeros141548
Zeros (%)15.9%
Memory size6.8 MiB
2020-11-30T23:54:29.032439image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.43027192
Coefficient of variation (CV)0.612184669
Kurtosis-0.6384107083
Mean2.336340638
Median Absolute Deviation (MAD)1
Skewness-0.2016039605
Sum1835011
Variance2.045677765
MonotocityNot monotonic
2020-11-30T23:54:29.118770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327671731.0%
 
218438720.7%
 
014154815.9%
 
4789158.9%
 
5541436.1%
 
1497115.6%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
014154815.9%
 
1497115.6%
 
218438720.7%
 
327671731.0%
 
4789158.9%
 
5541436.1%
 
ValueCountFrequency (%) 
5541436.1%
 
4789158.9%
 
327671731.0%
 
218438720.7%
 
1497115.6%
 
014154815.9%
 

KBA13_KW_80
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.310013356
Minimum0
Maximum5
Zeros129268
Zeros (%)14.5%
Memory size6.8 MiB
2020-11-30T23:54:29.203834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.410660844
Coefficient of variation (CV)0.6106721593
Kurtosis-0.6506222787
Mean2.310013356
Median Absolute Deviation (MAD)1
Skewness-0.1381494907
Sum1814333
Variance1.989964017
MonotocityNot monotonic
2020-11-30T23:54:29.291727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
326922130.2%
 
218052420.3%
 
012926814.5%
 
4775628.7%
 
1772148.7%
 
5516325.8%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
012926814.5%
 
1772148.7%
 
218052420.3%
 
326922130.2%
 
4775628.7%
 
5516325.8%
 
ValueCountFrequency (%) 
5516325.8%
 
4775628.7%
 
326922130.2%
 
218052420.3%
 
1772148.7%
 
012926814.5%
 

KBA13_KW_90
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.382883829
Minimum0
Maximum5
Zeros133326
Zeros (%)15.0%
Memory size6.8 MiB
2020-11-30T23:54:29.370656image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.43007608
Coefficient of variation (CV)0.6001451108
Kurtosis-0.6102998176
Mean2.382883829
Median Absolute Deviation (MAD)1
Skewness-0.2104813536
Sum1871567
Variance2.045117594
MonotocityNot monotonic
2020-11-30T23:54:29.451698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327740731.1%
 
218168520.4%
 
013332615.0%
 
4827479.3%
 
5586836.6%
 
1515735.8%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
013332615.0%
 
1515735.8%
 
218168520.4%
 
327740731.1%
 
4827479.3%
 
5586836.6%
 
ValueCountFrequency (%) 
5586836.6%
 
4827479.3%
 
327740731.1%
 
218168520.4%
 
1515735.8%
 
013332615.0%
 

KBA13_MAZDA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.085354224
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:29.532364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9999305686
Coefficient of variation (CV)0.3240893901
Kurtosis-0.2732084853
Mean3.085354224
Median Absolute Deviation (MAD)1
Skewness0.03833379357
Sum2423302
Variance0.999861142
MonotocityNot monotonic
2020-11-30T23:54:29.616121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334306038.5%
 
416914819.0%
 
215698917.6%
 
5718328.1%
 
1443925.0%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1443925.0%
 
215698917.6%
 
334306038.5%
 
416914819.0%
 
5718328.1%
 
ValueCountFrequency (%) 
5718328.1%
 
416914819.0%
 
334306038.5%
 
215698917.6%
 
1443925.0%
 

KBA13_MERCEDES
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.144134165
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:29.707153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.023847419
Coefficient of variation (CV)0.3256373187
Kurtosis-0.2915446887
Mean3.144134165
Median Absolute Deviation (MAD)1
Skewness-0.04624485669
Sum2469469
Variance1.048263538
MonotocityNot monotonic
2020-11-30T23:54:29.791008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334037938.2%
 
417899520.1%
 
213451315.1%
 
5829489.3%
 
1485865.5%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1485865.5%
 
213451315.1%
 
334037938.2%
 
417899520.1%
 
5829489.3%
 
ValueCountFrequency (%) 
5829489.3%
 
417899520.1%
 
334037938.2%
 
213451315.1%
 
1485865.5%
 

KBA13_MOTOR
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Memory size6.8 MiB
3
474886 
2
144655 
4
102786 
1
63094 
ValueCountFrequency (%) 
347488653.3%
 
214465516.2%
 
410278611.5%
 
1630947.1%
 
(Missing)10580011.9%
 
2020-11-30T23:54:29.890260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters8
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.78542129.4%
 
078542129.4%
 
347488617.8%
 
n2116007.9%
 
21446555.4%
 
a1058004.0%
 
41027863.8%
 
1630942.4%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number157084258.8%
 
Other Punctuation78542129.4%
 
Lowercase Letter31740011.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
078542150.0%
 
347488630.2%
 
21446559.2%
 
41027866.5%
 
1630944.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.785421100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common235626388.1%
 
Latin31740011.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n21160066.7%
 
a10580033.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
.78542133.3%
 
078542133.3%
 
347488620.2%
 
21446556.1%
 
41027864.4%
 
1630942.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.78542129.4%
 
078542129.4%
 
347488617.8%
 
n2116007.9%
 
21446555.4%
 
a1058004.0%
 
41027863.8%
 
1630942.4%
 

KBA13_NISSAN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.060305238
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:29.973205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.018649556
Coefficient of variation (CV)0.3328588088
Kurtosis-0.3198890741
Mean3.060305238
Median Absolute Deviation (MAD)1
Skewness0.02542864259
Sum2403628
Variance1.037646918
MonotocityNot monotonic
2020-11-30T23:54:30.057577image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333545737.6%
 
416712418.8%
 
216021318.0%
 
5714278.0%
 
1512005.7%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1512005.7%
 
216021318.0%
 
333545737.6%
 
416712418.8%
 
5714278.0%
 
ValueCountFrequency (%) 
5714278.0%
 
416712418.8%
 
333545737.6%
 
216021318.0%
 
1512005.7%
 

KBA13_OPEL
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.971934797
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:30.149135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.054774458
Coefficient of variation (CV)0.354911709
Kurtosis-0.3888872585
Mean2.971934797
Median Absolute Deviation (MAD)1
Skewness0.01530471319
Sum2334220
Variance1.112549157
MonotocityNot monotonic
2020-11-30T23:54:30.231547image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
332761836.8%
 
216424418.4%
 
415468117.4%
 
1725598.1%
 
5663197.4%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1725598.1%
 
216424418.4%
 
332761836.8%
 
415468117.4%
 
5663197.4%
 
ValueCountFrequency (%) 
5663197.4%
 
415468117.4%
 
332761836.8%
 
216424418.4%
 
1725598.1%
 

KBA13_PEUGEOT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.071690215
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:30.322914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.009348941
Coefficient of variation (CV)0.3285972448
Kurtosis-0.2810327462
Mean3.071690215
Median Absolute Deviation (MAD)1
Skewness0.005979796258
Sum2412570
Variance1.018785286
MonotocityNot monotonic
2020-11-30T23:54:30.407049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334080538.2%
 
417037819.1%
 
215437317.3%
 
5700087.9%
 
1498575.6%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1498575.6%
 
215437317.3%
 
334080538.2%
 
417037819.1%
 
5700087.9%
 
ValueCountFrequency (%) 
5700087.9%
 
417037819.1%
 
334080538.2%
 
215437317.3%
 
1498575.6%
 

KBA13_RENAULT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.043497691
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:30.498795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.023269502
Coefficient of variation (CV)0.3362149755
Kurtosis-0.3172444644
Mean3.043497691
Median Absolute Deviation (MAD)1
Skewness0.02578168102
Sum2390427
Variance1.047080473
MonotocityNot monotonic
2020-11-30T23:54:30.582369image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333638437.7%
 
416330718.3%
 
216078118.0%
 
5703847.9%
 
1545656.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1545656.1%
 
216078118.0%
 
333638437.7%
 
416330718.3%
 
5703847.9%
 
ValueCountFrequency (%) 
5703847.9%
 
416330718.3%
 
333638437.7%
 
216078118.0%
 
1545656.1%
 

KBA13_SEG_GELAENDEWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.910411104
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:30.673788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.00128961
Coefficient of variation (CV)0.3440371735
Kurtosis-0.2354138036
Mean2.910411104
Median Absolute Deviation (MAD)1
Skewness0.04496522077
Sum2285898
Variance1.002580883
MonotocityNot monotonic
2020-11-30T23:54:30.757631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334519338.7%
 
217864520.0%
 
414374216.1%
 
1677867.6%
 
5500555.6%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1677867.6%
 
217864520.0%
 
334519338.7%
 
414374216.1%
 
5500555.6%
 
ValueCountFrequency (%) 
5500555.6%
 
414374216.1%
 
334519338.7%
 
217864520.0%
 
1677867.6%
 

KBA13_SEG_GROSSRAUMVANS
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.0763756
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:30.848835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.013363044
Coefficient of variation (CV)0.3294015997
Kurtosis-0.2866336078
Mean3.0763756
Median Absolute Deviation (MAD)1
Skewness0.003810624845
Sum2416250
Variance1.026904659
MonotocityNot monotonic
2020-11-30T23:54:30.938345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334064238.2%
 
416994419.1%
 
215271717.1%
 
5717498.1%
 
1503695.7%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1503695.7%
 
215271717.1%
 
334064238.2%
 
416994419.1%
 
5717498.1%
 
ValueCountFrequency (%) 
5717498.1%
 
416994419.1%
 
334064238.2%
 
215271717.1%
 
1503695.7%
 

KBA13_SEG_KLEINST
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.989147222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:31.037412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.027774689
Coefficient of variation (CV)0.3438354194
Kurtosis-0.3105633099
Mean2.989147222
Median Absolute Deviation (MAD)1
Skewness0.0035994102
Sum2347739
Variance1.05632081
MonotocityNot monotonic
2020-11-30T23:54:31.121434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333759137.9%
 
216195418.2%
 
415857017.8%
 
1649387.3%
 
5623687.0%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1649387.3%
 
216195418.2%
 
333759137.9%
 
415857017.8%
 
5623687.0%
 
ValueCountFrequency (%) 
5623687.0%
 
415857017.8%
 
333759137.9%
 
216195418.2%
 
1649387.3%
 

KBA13_SEG_KLEINWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.945590963
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:31.213606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.016326004
Coefficient of variation (CV)0.3450329718
Kurtosis-0.2799374875
Mean2.945590963
Median Absolute Deviation (MAD)1
Skewness0.007787052256
Sum2313529
Variance1.032918546
MonotocityNot monotonic
2020-11-30T23:54:31.297700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334151438.3%
 
216780618.8%
 
415287017.2%
 
1685657.7%
 
5546666.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1685657.7%
 
216780618.8%
 
334151438.3%
 
415287017.2%
 
5546666.1%
 
ValueCountFrequency (%) 
5546666.1%
 
415287017.2%
 
334151438.3%
 
216780618.8%
 
1685657.7%
 

KBA13_SEG_KOMPAKTKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.950019162
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:31.388779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.017613686
Coefficient of variation (CV)0.3449515511
Kurtosis-0.2556275617
Mean2.950019162
Median Absolute Deviation (MAD)1
Skewness0.06779764668
Sum2317007
Variance1.035537613
MonotocityNot monotonic
2020-11-30T23:54:31.472800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334439838.6%
 
217331419.4%
 
414295216.0%
 
1646027.2%
 
5601556.7%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1646027.2%
 
217331419.4%
 
334439838.6%
 
414295216.0%
 
5601556.7%
 
ValueCountFrequency (%) 
5601556.7%
 
414295216.0%
 
334439838.6%
 
217331419.4%
 
1646027.2%
 

KBA13_SEG_MINIVANS
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.019059842
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:31.564545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.015220344
Coefficient of variation (CV)0.3362703613
Kurtosis-0.2773302807
Mean3.019059842
Median Absolute Deviation (MAD)1
Skewness0.02161412212
Sum2371233
Variance1.030672346
MonotocityNot monotonic
2020-11-30T23:54:31.648445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334186238.4%
 
216143618.1%
 
416004418.0%
 
5651307.3%
 
1569496.4%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1569496.4%
 
216143618.1%
 
334186238.4%
 
416004418.0%
 
5651307.3%
 
ValueCountFrequency (%) 
5651307.3%
 
416004418.0%
 
334186238.4%
 
216143618.1%
 
1569496.4%
 

KBA13_SEG_MINIWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.117098983
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:31.739506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.011775398
Coefficient of variation (CV)0.3245887935
Kurtosis-0.2952355287
Mean3.117098983
Median Absolute Deviation (MAD)1
Skewness-0.004778260809
Sum2448235
Variance1.023689456
MonotocityNot monotonic
2020-11-30T23:54:31.823699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333959838.1%
 
417609319.8%
 
214673916.5%
 
5771508.7%
 
1458415.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1458415.1%
 
214673916.5%
 
333959838.1%
 
417609319.8%
 
5771508.7%
 
ValueCountFrequency (%) 
5771508.7%
 
417609319.8%
 
333959838.1%
 
214673916.5%
 
1458415.1%
 

KBA13_SEG_MITTELKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.05885506
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:31.917120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.026027661
Coefficient of variation (CV)0.3354286625
Kurtosis-0.3186655989
Mean3.05885506
Median Absolute Deviation (MAD)1
Skewness0.01975961955
Sum2402489
Variance1.052732762
MonotocityNot monotonic
2020-11-30T23:54:32.002865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333724137.8%
 
416419218.4%
 
215686217.6%
 
5732878.2%
 
1538396.0%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1538396.0%
 
215686217.6%
 
333724137.8%
 
416419218.4%
 
5732878.2%
 
ValueCountFrequency (%) 
5732878.2%
 
416419218.4%
 
333724137.8%
 
215686217.6%
 
1538396.0%
 

KBA13_SEG_OBEREMITTELKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.16138224
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:32.095011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.009668645
Coefficient of variation (CV)0.3193756933
Kurtosis-0.2652926601
Mean3.16138224
Median Absolute Deviation (MAD)1
Skewness-0.04729643046
Sum2483016
Variance1.019430772
MonotocityNot monotonic
2020-11-30T23:54:32.179758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334228438.4%
 
418428520.7%
 
213285214.9%
 
5818309.2%
 
1441705.0%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1441705.0%
 
213285214.9%
 
334228438.4%
 
418428520.7%
 
5818309.2%
 
ValueCountFrequency (%) 
5818309.2%
 
418428520.7%
 
334228438.4%
 
213285214.9%
 
1441705.0%
 

KBA13_SEG_OBERKLASSE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.496482778
Minimum0
Maximum5
Zeros86270
Zeros (%)9.7%
Memory size6.8 MiB
2020-11-30T23:54:32.267074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.479815703
Coefficient of variation (CV)0.592760229
Kurtosis-0.8873647102
Mean2.496482778
Median Absolute Deviation (MAD)1
Skewness-0.08086214335
Sum1960790
Variance2.189854516
MonotocityNot monotonic
2020-11-30T23:54:32.348808image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
328348831.8%
 
115768217.7%
 
49136910.3%
 
0862709.7%
 
5846489.5%
 
2819649.2%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
0862709.7%
 
115768217.7%
 
2819649.2%
 
328348831.8%
 
49136910.3%
 
5846489.5%
 
ValueCountFrequency (%) 
5846489.5%
 
49136910.3%
 
328348831.8%
 
2819649.2%
 
115768217.7%
 
0862709.7%
 

KBA13_SEG_SONSTIGE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.071439394
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:32.429756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9634001073
Coefficient of variation (CV)0.313664046
Kurtosis-0.2084499485
Mean3.071439394
Median Absolute Deviation (MAD)1
Skewness0.105852725
Sum2412373
Variance0.9281397668
MonotocityNot monotonic
2020-11-30T23:54:32.515329image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
335226839.5%
 
216767418.8%
 
416553418.6%
 
5645357.2%
 
1354104.0%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1354104.0%
 
216767418.8%
 
335226839.5%
 
416553418.6%
 
5645357.2%
 
ValueCountFrequency (%) 
5645357.2%
 
416553418.6%
 
335226839.5%
 
216767418.8%
 
1354104.0%
 

KBA13_SEG_SPORTWAGEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.566941806
Minimum0
Maximum5
Zeros83421
Zeros (%)9.4%
Memory size6.8 MiB
2020-11-30T23:54:32.603464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.437284235
Coefficient of variation (CV)0.5599208487
Kurtosis-0.6774174457
Mean2.566941806
Median Absolute Deviation (MAD)1
Skewness-0.1182886889
Sum2016130
Variance2.065785971
MonotocityNot monotonic
2020-11-30T23:54:32.684525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
326792230.1%
 
214693016.5%
 
110626711.9%
 
49216810.3%
 
58871310.0%
 
0834219.4%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
0834219.4%
 
110626711.9%
 
214693016.5%
 
326792230.1%
 
49216810.3%
 
58871310.0%
 
ValueCountFrequency (%) 
58871310.0%
 
49216810.3%
 
326792230.1%
 
214693016.5%
 
110626711.9%
 
0834219.4%
 

KBA13_SEG_UTILITIES
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.016090734
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:32.765022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9987008987
Coefficient of variation (CV)0.3311242887
Kurtosis-0.236473804
Mean3.016090734
Median Absolute Deviation (MAD)1
Skewness0.03135281726
Sum2368901
Variance0.9974034852
MonotocityNot monotonic
2020-11-30T23:54:32.849790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334645638.9%
 
216401218.4%
 
416008018.0%
 
5615796.9%
 
1532946.0%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1532946.0%
 
216401218.4%
 
334645638.9%
 
416008018.0%
 
5615796.9%
 
ValueCountFrequency (%) 
5615796.9%
 
416008018.0%
 
334645638.9%
 
216401218.4%
 
1532946.0%
 

KBA13_SEG_VAN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.047091942
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:32.943635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.011614965
Coefficient of variation (CV)0.3319935808
Kurtosis-0.2780181596
Mean3.047091942
Median Absolute Deviation (MAD)1
Skewness0.01287845449
Sum2393250
Variance1.023364837
MonotocityNot monotonic
2020-11-30T23:54:33.029376image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334143838.3%
 
416571018.6%
 
215776317.7%
 
5675157.6%
 
1529955.9%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1529955.9%
 
215776317.7%
 
334143838.3%
 
416571018.6%
 
5675157.6%
 
ValueCountFrequency (%) 
5675157.6%
 
416571018.6%
 
334143838.3%
 
215776317.7%
 
1529955.9%
 

KBA13_SEG_WOHNMOBILE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.538732731
Minimum0
Maximum5
Zeros85796
Zeros (%)9.6%
Memory size6.8 MiB
2020-11-30T23:54:33.117789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4113662
Coefficient of variation (CV)0.5559333531
Kurtosis-0.5925733501
Mean2.538732731
Median Absolute Deviation (MAD)1
Skewness-0.1201331485
Sum1993974
Variance1.991954549
MonotocityNot monotonic
2020-11-30T23:54:33.200102image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
326914030.2%
 
216520518.5%
 
19532610.7%
 
48895210.0%
 
0857969.6%
 
5810029.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
0857969.6%
 
19532610.7%
 
216520518.5%
 
326914030.2%
 
48895210.0%
 
5810029.1%
 
ValueCountFrequency (%) 
5810029.1%
 
48895210.0%
 
326914030.2%
 
216520518.5%
 
19532610.7%
 
0857969.6%
 

KBA13_SITZE_4
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.170896882
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:33.281776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.053637274
Coefficient of variation (CV)0.3322836766
Kurtosis-0.3741859454
Mean3.170896882
Median Absolute Deviation (MAD)1
Skewness-0.07752814291
Sum2490489
Variance1.110151505
MonotocityNot monotonic
2020-11-30T23:54:33.365265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
332845436.9%
 
418169520.4%
 
212930314.5%
 
59344310.5%
 
1525265.9%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1525265.9%
 
212930314.5%
 
332845436.9%
 
418169520.4%
 
59344310.5%
 
ValueCountFrequency (%) 
59344310.5%
 
418169520.4%
 
332845436.9%
 
212930314.5%
 
1525265.9%
 

KBA13_SITZE_5
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.842810416
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:33.457877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.056045367
Coefficient of variation (CV)0.3714793505
Kurtosis-0.3663480459
Mean2.842810416
Median Absolute Deviation (MAD)1
Skewness0.08106634845
Sum2232803
Variance1.115231817
MonotocityNot monotonic
2020-11-30T23:54:33.542938image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333022837.1%
 
217969320.2%
 
412878714.5%
 
19149510.3%
 
5552186.2%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
19149510.3%
 
217969320.2%
 
333022837.1%
 
412878714.5%
 
5552186.2%
 
ValueCountFrequency (%) 
5552186.2%
 
412878714.5%
 
333022837.1%
 
217969320.2%
 
19149510.3%
 

KBA13_SITZE_6
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.071780612
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:33.633345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.041083422
Coefficient of variation (CV)0.3389185473
Kurtosis-0.3359134628
Mean3.071780612
Median Absolute Deviation (MAD)1
Skewness-0.01783118518
Sum2412641
Variance1.083854693
MonotocityNot monotonic
2020-11-30T23:54:33.717667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333622437.7%
 
416652818.7%
 
214729216.5%
 
5769748.6%
 
1584036.6%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1584036.6%
 
214729216.5%
 
333622437.7%
 
416652818.7%
 
5769748.6%
 
ValueCountFrequency (%) 
5769748.6%
 
416652818.7%
 
333622437.7%
 
214729216.5%
 
1584036.6%
 

KBA13_TOYOTA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.074966165
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:33.809113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.00738911
Coefficient of variation (CV)0.3276098194
Kurtosis-0.275069165
Mean3.074966165
Median Absolute Deviation (MAD)1
Skewness0.03088738237
Sum2415143
Variance1.014832818
MonotocityNot monotonic
2020-11-30T23:54:33.894986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334319338.5%
 
416642618.7%
 
215605017.5%
 
5720028.1%
 
1477505.4%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1477505.4%
 
215605017.5%
 
334319338.5%
 
416642618.7%
 
5720028.1%
 
ValueCountFrequency (%) 
5720028.1%
 
416642618.7%
 
334319338.5%
 
215605017.5%
 
1477505.4%
 

KBA13_VORB_0
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.117557335
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:33.987971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9754946668
Coefficient of variation (CV)0.3129035209
Kurtosis-0.2348234341
Mean3.117557335
Median Absolute Deviation (MAD)1
Skewness0.05883266026
Sum2448595
Variance0.9515898451
MonotocityNot monotonic
2020-11-30T23:54:34.072631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
334983739.3%
 
417427619.6%
 
215375217.3%
 
5717308.0%
 
1358264.0%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1358264.0%
 
215375217.3%
 
334983739.3%
 
417427619.6%
 
5717308.0%
 
ValueCountFrequency (%) 
5717308.0%
 
417427619.6%
 
334983739.3%
 
215375217.3%
 
1358264.0%
 

KBA13_VORB_1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.980660054
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:34.164156image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9573924606
Coefficient of variation (CV)0.3212014934
Kurtosis-0.1143704123
Mean2.980660054
Median Absolute Deviation (MAD)1
Skewness0.01130679911
Sum2341073
Variance0.9166003237
MonotocityNot monotonic
2020-11-30T23:54:34.250509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
336144940.6%
 
216707618.7%
 
415815017.7%
 
1509395.7%
 
5478075.4%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1509395.7%
 
216707618.7%
 
336144940.6%
 
415815017.7%
 
5478075.4%
 
ValueCountFrequency (%) 
5478075.4%
 
415815017.7%
 
336144940.6%
 
216707618.7%
 
1509395.7%
 

KBA13_VORB_1_2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.916886612
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:34.342382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9618988892
Coefficient of variation (CV)0.329769037
Kurtosis-0.1425131331
Mean2.916886612
Median Absolute Deviation (MAD)1
Skewness-0.01957916548
Sum2290984
Variance0.9252494731
MonotocityNot monotonic
2020-11-30T23:54:34.425784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
335926240.3%
 
217304719.4%
 
415112017.0%
 
1618346.9%
 
5401584.5%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1618346.9%
 
217304719.4%
 
335926240.3%
 
415112017.0%
 
5401584.5%
 
ValueCountFrequency (%) 
5401584.5%
 
415112017.0%
 
335926240.3%
 
217304719.4%
 
1618346.9%
 

KBA13_VORB_2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.011097233
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:34.517090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9438052494
Coefficient of variation (CV)0.3134423024
Kurtosis-0.09426693007
Mean3.011097233
Median Absolute Deviation (MAD)1
Skewness0.03479750123
Sum2364979
Variance0.8907683488
MonotocityNot monotonic
2020-11-30T23:54:34.601509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
336386640.8%
 
216631718.7%
 
416251518.2%
 
5494915.6%
 
1432324.9%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1432324.9%
 
216631718.7%
 
336386640.8%
 
416251518.2%
 
5494915.6%
 
ValueCountFrequency (%) 
5494915.6%
 
416251518.2%
 
336386640.8%
 
216631718.7%
 
1432324.9%
 

KBA13_VORB_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.354173112
Minimum0
Maximum5
Zeros143284
Zeros (%)16.1%
Memory size6.8 MiB
2020-11-30T23:54:34.689592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.469417336
Coefficient of variation (CV)0.6241755664
Kurtosis-0.7135883338
Mean2.354173112
Median Absolute Deviation (MAD)1
Skewness-0.1573543125
Sum1849017
Variance2.159187307
MonotocityNot monotonic
2020-11-30T23:54:34.772952image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
326468529.7%
 
217745819.9%
 
014328416.1%
 
4811769.1%
 
5641317.2%
 
1546876.1%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
014328416.1%
 
1546876.1%
 
217745819.9%
 
326468529.7%
 
4811769.1%
 
5641317.2%
 
ValueCountFrequency (%) 
5641317.2%
 
4811769.1%
 
326468529.7%
 
217745819.9%
 
1546876.1%
 
014328416.1%
 

KBA13_VW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.935192718
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:34.861322image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.028888231
Coefficient of variation (CV)0.3505351537
Kurtosis-0.314335131
Mean2.935192718
Median Absolute Deviation (MAD)1
Skewness0.02891231007
Sum2305362
Variance1.058610991
MonotocityNot monotonic
2020-11-30T23:54:34.953198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333658837.8%
 
217117519.2%
 
414901816.7%
 
1715068.0%
 
5571346.4%
 
(Missing)10580011.9%
 
ValueCountFrequency (%) 
1715068.0%
 
217117519.2%
 
333658837.8%
 
414901816.7%
 
5571346.4%
 
ValueCountFrequency (%) 
5571346.4%
 
414901816.7%
 
333658837.8%
 
217117519.2%
 
1715068.0%
 

KK_KUNDENTYP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing584612
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean3.410640262
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:35.043739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.628844193
Coefficient of variation (CV)0.4775772489
Kurtosis-1.160216118
Mean3.410640262
Median Absolute Deviation (MAD)1
Skewness0.1480185173
Sum1045733
Variance2.653133406
MonotocityNot monotonic
2020-11-30T23:54:35.127313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
3651517.3%
 
2625647.0%
 
5480385.4%
 
4445125.0%
 
6441144.9%
 
1422304.7%
 
(Missing)58461265.6%
 
ValueCountFrequency (%) 
1422304.7%
 
2625647.0%
 
3651517.3%
 
4445125.0%
 
5480385.4%
 
6441144.9%
 
ValueCountFrequency (%) 
6441144.9%
 
5480385.4%
 
4445125.0%
 
3651517.3%
 
2625647.0%
 
1422304.7%
 

KKK
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing121196
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean2.592991137
Minimum0
Maximum4
Zeros36868
Zeros (%)4.1%
Memory size6.8 MiB
2020-11-30T23:54:35.210313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.119051963
Coefficient of variation (CV)0.4315679863
Kurtosis-0.4820875211
Mean2.592991137
Median Absolute Deviation (MAD)1
Skewness-0.5270239196
Sum1996668
Variance1.252277297
MonotocityNot monotonic
2020-11-30T23:54:35.290885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
327302430.6%
 
218151920.4%
 
417864820.0%
 
19996611.2%
 
0368684.1%
 
(Missing)12119613.6%
 
ValueCountFrequency (%) 
0368684.1%
 
19996611.2%
 
218151920.4%
 
327302430.6%
 
417864820.0%
 
ValueCountFrequency (%) 
417864820.0%
 
327302430.6%
 
218151920.4%
 
19996611.2%
 
0368684.1%
 

KOMBIALTER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.517954581
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:35.376751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.110462436
Coefficient of variation (CV)0.5999117916
Kurtosis2.058678418
Mean3.517954581
Median Absolute Deviation (MAD)1
Skewness1.584797468
Sum3135275
Variance4.454051693
MonotocityNot monotonic
2020-11-30T23:54:35.454722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
427277030.6%
 
324621427.6%
 
218376420.6%
 
19477910.6%
 
99369410.5%
 
ValueCountFrequency (%) 
19477910.6%
 
218376420.6%
 
324621427.6%
 
427277030.6%
 
99369410.5%
 
ValueCountFrequency (%) 
99369410.5%
 
427277030.6%
 
324621427.6%
 
218376420.6%
 
19477910.6%
 

KONSUMNAEHE
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing73969
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean3.018452081
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:35.538519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.550311878
Coefficient of variation (CV)0.5136115586
Kurtosis-1.089230428
Mean3.018452081
Median Absolute Deviation (MAD)1
Skewness0.1833736883
Sum2466836
Variance2.403466919
MonotocityNot monotonic
2020-11-30T23:54:35.617127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
119373821.7%
 
317112719.2%
 
515353517.2%
 
213466515.1%
 
413332415.0%
 
6266253.0%
 
742380.5%
 
(Missing)739698.3%
 
ValueCountFrequency (%) 
119373821.7%
 
213466515.1%
 
317112719.2%
 
413332415.0%
 
515353517.2%
 
6266253.0%
 
742380.5%
 
ValueCountFrequency (%) 
742380.5%
 
6266253.0%
 
515353517.2%
 
413332415.0%
 
317112719.2%
 
213466515.1%
 
119373821.7%
 

KONSUMZELLE
Boolean

MISSING

Distinct2
Distinct (%)< 0.1%
Missing93155
Missing (%)10.5%
Memory size6.8 MiB
0
609591 
1
188475 
(Missing)
93155 
ValueCountFrequency (%) 
060959168.4%
 
118847521.1%
 
(Missing)9315510.5%
 

LP_FAMILIE_FEIN
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.599574443
Minimum0
Maximum11
Zeros72938
Zeros (%)8.2%
Memory size6.8 MiB
2020-11-30T23:54:35.709078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q38
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.926486236
Coefficient of variation (CV)1.090819567
Kurtosis-0.9106001239
Mean3.599574443
Median Absolute Deviation (MAD)1
Skewness0.9410430432
Sum3190544
Variance15.41729416
MonotocityNot monotonic
2020-11-30T23:54:35.794547image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
142637947.8%
 
1013791315.5%
 
210430511.7%
 
0729388.2%
 
11517195.8%
 
8230322.6%
 
7207302.3%
 
4123031.4%
 
5119201.3%
 
9111481.3%
 
690221.0%
 
349580.6%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
0729388.2%
 
142637947.8%
 
210430511.7%
 
349580.6%
 
4123031.4%
 
5119201.3%
 
690221.0%
 
7207302.3%
 
8230322.6%
 
9111481.3%
 
ValueCountFrequency (%) 
11517195.8%
 
1013791315.5%
 
9111481.3%
 
8230322.6%
 
7207302.3%
 
690221.0%
 
5119201.3%
 
4123031.4%
 
349580.6%
 
210430511.7%
 

LP_FAMILIE_GROB
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.185965858
Minimum0
Maximum5
Zeros72938
Zeros (%)8.2%
Memory size6.8 MiB
2020-11-30T23:54:35.878071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.756537367
Coefficient of variation (CV)0.803552059
Kurtosis-1.141298857
Mean2.185965858
Median Absolute Deviation (MAD)1
Skewness0.6934485098
Sum1937568
Variance3.08542352
MonotocityNot monotonic
2020-11-30T23:54:35.966426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
142637947.8%
 
520078022.5%
 
210430511.7%
 
0729388.2%
 
4527845.9%
 
3291813.3%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
0729388.2%
 
142637947.8%
 
210430511.7%
 
3291813.3%
 
4527845.9%
 
520078022.5%
 
ValueCountFrequency (%) 
520078022.5%
 
4527845.9%
 
3291813.3%
 
210430511.7%
 
142637947.8%
 
0729388.2%
 

LP_LEBENSPHASE_FEIN
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean14.62263712
Minimum0
Maximum40
Zeros92778
Zeros (%)10.4%
Memory size6.8 MiB
2020-11-30T23:54:36.070779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q327
95-th percentile38
Maximum40
Range40
Interquartile range (IQR)23

Descriptive statistics

Standard deviation12.61688274
Coefficient of variation (CV)0.8628322399
Kurtosis-1.060101299
Mean14.62263712
Median Absolute Deviation (MAD)9
Skewness0.5547653618
Sum12961023
Variance159.1857302
MonotocityNot monotonic
2020-11-30T23:54:36.182713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
09277810.4%
 
1626677.0%
 
5555426.2%
 
6456145.1%
 
2394344.4%
 
8304753.4%
 
11267103.0%
 
29265773.0%
 
7265083.0%
 
13260852.9%
 
10257892.9%
 
31239872.7%
 
12233002.6%
 
30223612.5%
 
15200622.3%
 
3199852.2%
 
19194842.2%
 
37185252.1%
 
4175952.0%
 
14175292.0%
 
20171321.9%
 
32171051.9%
 
39161821.8%
 
40151501.7%
 
27144751.6%
 
Other values (16)16531618.5%
 
ValueCountFrequency (%) 
09277810.4%
 
1626677.0%
 
2394344.4%
 
3199852.2%
 
4175952.0%
 
5555426.2%
 
6456145.1%
 
7265083.0%
 
8304753.4%
 
9130661.5%
 
ValueCountFrequency (%) 
40151501.7%
 
39161821.8%
 
38139141.6%
 
37185252.1%
 
36105051.2%
 
35136791.5%
 
34130741.5%
 
3360660.7%
 
32171051.9%
 
31239872.7%
 

LP_LEBENSPHASE_GROB
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean4.453621355
Minimum0
Maximum12
Zeros89718
Zeros (%)10.1%
Memory size6.8 MiB
2020-11-30T23:54:36.283569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.855639394
Coefficient of variation (CV)0.8657312974
Kurtosis-0.8136004432
Mean4.453621355
Median Absolute Deviation (MAD)2
Skewness0.7519252624
Sum3947543
Variance14.86595514
MonotocityNot monotonic
2020-11-30T23:54:36.381790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
215813917.7%
 
113968115.7%
 
311562413.0%
 
08971810.1%
 
12742768.3%
 
4544436.1%
 
5496725.6%
 
9489385.5%
 
10410924.6%
 
11328193.7%
 
8303233.4%
 
6291813.3%
 
7224612.5%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
08971810.1%
 
113968115.7%
 
215813917.7%
 
311562413.0%
 
4544436.1%
 
5496725.6%
 
6291813.3%
 
7224612.5%
 
8303233.4%
 
9489385.5%
 
ValueCountFrequency (%) 
12742768.3%
 
11328193.7%
 
10410924.6%
 
9489385.5%
 
8303233.4%
 
7224612.5%
 
6291813.3%
 
5496725.6%
 
4544436.1%
 
311562413.0%
 

LP_STATUS_FEIN
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean4.791150844
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:36.475587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.425305064
Coefficient of variation (CV)0.7149232357
Kurtosis-1.463356931
Mean4.791150844
Median Absolute Deviation (MAD)3
Skewness0.3702895041
Sum4246718
Variance11.73271478
MonotocityNot monotonic
2020-11-30T23:54:36.551541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
121927524.6%
 
914323816.1%
 
211823613.3%
 
1011802213.2%
 
4783178.8%
 
5744938.4%
 
3741058.3%
 
6309143.5%
 
8197082.2%
 
7100591.1%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
121927524.6%
 
211823613.3%
 
3741058.3%
 
4783178.8%
 
5744938.4%
 
6309143.5%
 
7100591.1%
 
8197082.2%
 
914323816.1%
 
1011802213.2%
 
ValueCountFrequency (%) 
1011802213.2%
 
914323816.1%
 
8197082.2%
 
7100591.1%
 
6309143.5%
 
5744938.4%
 
4783178.8%
 
3741058.3%
 
211823613.3%
 
121927524.6%
 

LP_STATUS_GROB
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.432574769
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:36.630518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.474314564
Coefficient of variation (CV)0.6060716338
Kurtosis-1.198204821
Mean2.432574769
Median Absolute Deviation (MAD)1
Skewness0.5709267548
Sum2156154
Variance2.173603435
MonotocityNot monotonic
2020-11-30T23:54:36.714280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
133751137.9%
 
222691525.5%
 
416294618.3%
 
511802213.2%
 
3409734.6%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
133751137.9%
 
222691525.5%
 
3409734.6%
 
416294618.3%
 
511802213.2%
 
ValueCountFrequency (%) 
511802213.2%
 
416294618.3%
 
3409734.6%
 
222691525.5%
 
133751137.9%
 

MIN_GEBAEUDEJAHR
Real number (ℝ≥0)

MISSING

Distinct32
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean1993.277011
Minimum1985
Maximum2016
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:36.816257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1992
Q11992
median1992
Q31993
95-th percentile2000
Maximum2016
Range31
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.332738997
Coefficient of variation (CV)0.001671989883
Kurtosis14.22772176
Mean1993.277011
Median Absolute Deviation (MAD)0
Skewness3.556034362
Sum1590780564
Variance11.10714922
MonotocityNot monotonic
2020-11-30T23:54:36.917430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
199256877663.8%
 
1994788358.8%
 
1993254882.9%
 
1995254642.9%
 
1996166111.9%
 
1997144641.6%
 
200073820.8%
 
200158770.7%
 
199158110.7%
 
200555530.6%
 
199944130.5%
 
199044080.5%
 
200242160.5%
 
199840970.5%
 
200333560.4%
 
200429350.3%
 
200821970.2%
 
200721560.2%
 
198920460.2%
 
200920160.2%
 
200619840.2%
 
201119030.2%
 
201218610.2%
 
201014100.2%
 
201312300.1%
 
Other values (7)35840.4%
 
(Missing)9314810.5%
 
ValueCountFrequency (%) 
1985116< 0.1%
 
1986125< 0.1%
 
19874700.1%
 
198810270.1%
 
198920460.2%
 
199044080.5%
 
199158110.7%
 
199256877663.8%
 
1993254882.9%
 
1994788358.8%
 
ValueCountFrequency (%) 
2016128< 0.1%
 
20157170.1%
 
201410010.1%
 
201312300.1%
 
201218610.2%
 
201119030.2%
 
201014100.2%
 
200920160.2%
 
200821970.2%
 
200721560.2%
 

MOBI_RASTER
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean2.37881873
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:37.010182image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.536927473
Coefficient of variation (CV)0.6460885202
Kurtosis-0.6950184903
Mean2.37881873
Median Absolute Deviation (MAD)1
Skewness0.7552069291
Sum1898471
Variance2.362146056
MonotocityNot monotonic
2020-11-30T23:54:37.095405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
135557939.9%
 
312405513.9%
 
211823113.3%
 
49280410.4%
 
5813759.1%
 
6260292.9%
 
(Missing)9314810.5%
 
ValueCountFrequency (%) 
135557939.9%
 
211823113.3%
 
312405513.9%
 
49280410.4%
 
5813759.1%
 
6260292.9%
 
ValueCountFrequency (%) 
6260292.9%
 
5813759.1%
 
49280410.4%
 
312405513.9%
 
211823113.3%
 
135557939.9%
 

MOBI_REGIO
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.963539901
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:37.176570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.428882174
Coefficient of variation (CV)0.4821538506
Kurtosis-1.315601408
Mean2.963539901
Median Absolute Deviation (MAD)1
Skewness0.02630554031
Sum2246058
Variance2.041704268
MonotocityNot monotonic
2020-11-30T23:54:37.264359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
116399318.4%
 
315033616.9%
 
514871316.7%
 
414820916.6%
 
214630516.4%
 
6341< 0.1%
 
(Missing)13332415.0%
 
ValueCountFrequency (%) 
116399318.4%
 
214630516.4%
 
315033616.9%
 
414820916.6%
 
514871316.7%
 
6341< 0.1%
 
ValueCountFrequency (%) 
6341< 0.1%
 
514871316.7%
 
414820916.6%
 
315033616.9%
 
214630516.4%
 
116399318.4%
 

NATIONALITAET_KZ
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
1
684085 
0
108315 
2
 
65418
3
 
33403
ValueCountFrequency (%) 
168408576.8%
 
010831512.2%
 
2654187.3%
 
3334033.7%
 
2020-11-30T23:54:37.364292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters4
Unique unicode categories1 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
168408576.8%
 
010831512.2%
 
2654187.3%
 
3334033.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number891221100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
168408576.8%
 
010831512.2%
 
2654187.3%
 
3334033.7%
 

Most occurring scripts

ValueCountFrequency (%) 
Common891221100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
168408576.8%
 
010831512.2%
 
2654187.3%
 
3334033.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII891221100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
168408576.8%
 
010831512.2%
 
2654187.3%
 
3334033.7%
 

ONLINE_AFFINITAET
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.6986914
Minimum0
Maximum5
Zeros65716
Zeros (%)7.4%
Memory size6.8 MiB
2020-11-30T23:54:37.446364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.52152361
Coefficient of variation (CV)0.5638005184
Kurtosis-1.066834259
Mean2.6986914
Median Absolute Deviation (MAD)1
Skewness-0.02418530245
Sum2392031
Variance2.315034097
MonotocityNot monotonic
2020-11-30T23:54:37.533204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
219785022.2%
 
416470418.5%
 
316348718.3%
 
115649917.6%
 
513811115.5%
 
0657167.4%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
0657167.4%
 
115649917.6%
 
219785022.2%
 
316348718.3%
 
416470418.5%
 
513811115.5%
 
ValueCountFrequency (%) 
513811115.5%
 
416470418.5%
 
316348718.3%
 
219785022.2%
 
115649917.6%
 
0657167.4%
 

ORTSGR_KLS9
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)< 0.1%
Missing97216
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean5.293001933
Minimum0
Maximum9
Zeros58
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-11-30T23:54:37.621841image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.303738703
Coefficient of variation (CV)0.4352423694
Kurtosis-0.9404036909
Mean5.293001933
Median Absolute Deviation (MAD)2
Skewness-0.008312889998
Sum4202670
Variance5.307212011
MonotocityNot monotonic
2020-11-30T23:54:37.701584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
514809616.6%
 
411490912.9%
 
710286611.5%
 
99187910.3%
 
3835429.4%
 
6759958.5%
 
8727098.2%
 
2633627.1%
 
1405894.6%
 
058< 0.1%
 
(Missing)9721610.9%
 
ValueCountFrequency (%) 
058< 0.1%
 
1405894.6%
 
2633627.1%
 
3835429.4%
 
411490912.9%
 
514809616.6%
 
6759958.5%
 
710286611.5%
 
8727098.2%
 
99187910.3%
 
ValueCountFrequency (%) 
99187910.3%
 
8727098.2%
 
710286611.5%
 
6759958.5%
 
514809616.6%
 
411490912.9%
 
3835429.4%
 
2633627.1%
 
1405894.6%
 
058< 0.1%
 

OST_WEST_KZ
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Memory size6.8 MiB
W
629528 
O
168545 
ValueCountFrequency (%) 
W62952870.6%
 
O16854518.9%
 
(Missing)9314810.5%
 
2020-11-30T23:54:37.791711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters4
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
W62952858.4%
 
n18629617.3%
 
O16854515.6%
 
a931488.6%
 

Most occurring categories

ValueCountFrequency (%) 
Uppercase Letter79807374.1%
 
Lowercase Letter27944425.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n18629666.7%
 
a9314833.3%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
W62952878.9%
 
O16854521.1%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1077517100.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
W62952858.4%
 
n18629617.3%
 
O16854515.6%
 
a931488.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII1077517100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
W62952858.4%
 
n18629617.3%
 
O16854515.6%
 
a931488.6%
 

PLZ8_ANTG1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean2.25332965
Minimum0
Maximum4
Zeros5470
Zeros (%)0.6%
Memory size6.8 MiB
2020-11-30T23:54:37.870919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9720077339
Coefficient of variation (CV)0.431365084
Kurtosis-0.8476824134
Mean2.25332965
Median Absolute Deviation (MAD)1
Skewness0.1642256914
Sum1745668
Variance0.9447990347
MonotocityNot monotonic
2020-11-30T23:54:37.954108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
227059030.4%
 
322235524.9%
 
118924721.2%
 
4870449.8%
 
054700.6%
 
(Missing)11651513.1%
 
ValueCountFrequency (%) 
054700.6%
 
118924721.2%
 
227059030.4%
 
322235524.9%
 
4870449.8%
 
ValueCountFrequency (%) 
4870449.8%
 
322235524.9%
 
227059030.4%
 
118924721.2%
 
054700.6%
 

PLZ8_ANTG2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean2.801857737
Minimum0
Maximum4
Zeros7438
Zeros (%)0.8%
Memory size6.8 MiB
2020-11-30T23:54:38.044189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9203089398
Coefficient of variation (CV)0.3284638358
Kurtosis-0.2961844436
Mean2.801857737
Median Absolute Deviation (MAD)1
Skewness-0.4226673799
Sum2170616
Variance0.8469685446
MonotocityNot monotonic
2020-11-30T23:54:38.126756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
330728334.5%
 
221576724.2%
 
419100521.4%
 
1532136.0%
 
074380.8%
 
(Missing)11651513.1%
 
ValueCountFrequency (%) 
074380.8%
 
1532136.0%
 
221576724.2%
 
330728334.5%
 
419100521.4%
 
ValueCountFrequency (%) 
419100521.4%
 
330728334.5%
 
221576724.2%
 
1532136.0%
 
074380.8%
 

PLZ8_ANTG3
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Memory size6.8 MiB
2
252994 
1
237878 
3
164040 
0
119794 
ValueCountFrequency (%) 
225299428.4%
 
123787826.7%
 
316404018.4%
 
011979413.4%
 
(Missing)11651513.1%
 
2020-11-30T23:54:38.233909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters7
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
089450033.5%
 
.77470629.0%
 
22529949.5%
 
12378788.9%
 
n2330308.7%
 
31640406.1%
 
a1165154.4%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number154941258.0%
 
Other Punctuation77470629.0%
 
Lowercase Letter34954513.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n23303066.7%
 
a11651533.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089450057.7%
 
225299416.3%
 
123787815.4%
 
316404010.6%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.774706100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common232411886.9%
 
Latin34954513.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n23303066.7%
 
a11651533.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
089450038.5%
 
.77470633.3%
 
225299410.9%
 
123787810.2%
 
31640407.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
089450033.5%
 
.77470629.0%
 
22529949.5%
 
12378788.9%
 
n2330308.7%
 
31640406.1%
 
a1165154.4%
 

PLZ8_ANTG4
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Memory size6.8 MiB
0
356389 
1
294986 
2
123331 
ValueCountFrequency (%) 
035638940.0%
 
129498633.1%
 
212333113.8%
 
(Missing)11651513.1%
 
2020-11-30T23:54:38.335963image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters6
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0113109542.3%
 
.77470629.0%
 
129498611.0%
 
n2330308.7%
 
21233314.6%
 
a1165154.4%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number154941258.0%
 
Other Punctuation77470629.0%
 
Lowercase Letter34954513.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n23303066.7%
 
a11651533.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0113109573.0%
 
129498619.0%
 
21233318.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.774706100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common232411886.9%
 
Latin34954513.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n23303066.7%
 
a11651533.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
0113109548.7%
 
.77470633.3%
 
129498612.7%
 
21233315.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0113109542.3%
 
.77470629.0%
 
129498611.0%
 
n2330308.7%
 
21233314.6%
 
a1165154.4%
 

PLZ8_BAUMAX
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean1.943912917
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:38.419658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.45965373
Coefficient of variation (CV)0.7508843207
Kurtosis-0.166937038
Mean1.943912917
Median Absolute Deviation (MAD)0
Skewness1.208048397
Sum1505961
Variance2.130589011
MonotocityNot monotonic
2020-11-30T23:54:38.501064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
149955056.1%
 
59733310.9%
 
2704077.9%
 
4566846.4%
 
3507325.7%
 
(Missing)11651513.1%
 
ValueCountFrequency (%) 
149955056.1%
 
2704077.9%
 
3507325.7%
 
4566846.4%
 
59733310.9%
 
ValueCountFrequency (%) 
59733310.9%
 
4566846.4%
 
3507325.7%
 
2704077.9%
 
149955056.1%
 

PLZ8_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean3.381086502
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:38.589767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.111597716
Coefficient of variation (CV)0.3287693808
Kurtosis-0.632323212
Mean3.381086502
Median Absolute Deviation (MAD)1
Skewness-0.152570169
Sum2619348
Variance1.235649482
MonotocityNot monotonic
2020-11-30T23:54:38.672714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
328838332.4%
 
418025220.2%
 
515388317.3%
 
211158812.5%
 
1406004.6%
 
(Missing)11651513.1%
 
ValueCountFrequency (%) 
1406004.6%
 
211158812.5%
 
328838332.4%
 
418025220.2%
 
515388317.3%
 
ValueCountFrequency (%) 
515388317.3%
 
418025220.2%
 
328838332.4%
 
211158812.5%
 
1406004.6%
 

PLZ8_HHZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean3.612820864
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:38.762848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9739665877
Coefficient of variation (CV)0.2695861833
Kurtosis-0.6158403515
Mean3.612820864
Median Absolute Deviation (MAD)1
Skewness-0.0913780638
Sum2798874
Variance0.9486109139
MonotocityNot monotonic
2020-11-30T23:54:38.845596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
330914634.7%
 
421191123.8%
 
517581319.7%
 
2668917.5%
 
1109451.2%
 
(Missing)11651513.1%
 
ValueCountFrequency (%) 
1109451.2%
 
2668917.5%
 
330914634.7%
 
421191123.8%
 
517581319.7%
 
ValueCountFrequency (%) 
517581319.7%
 
421191123.8%
 
330914634.7%
 
2668917.5%
 
1109451.2%
 

PRAEGENDE_JUGENDJAHRE
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.154345555
Minimum0
Maximum15
Zeros108164
Zeros (%)12.1%
Memory size6.8 MiB
2020-11-30T23:54:38.941705image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median8
Q314
95-th percentile14
Maximum15
Range15
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.844532197
Coefficient of variation (CV)0.5941043538
Kurtosis-1.11662633
Mean8.154345555
Median Absolute Deviation (MAD)4
Skewness-0.2507805175
Sum7267324
Variance23.4694922
MonotocityNot monotonic
2020-11-30T23:54:39.032364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
1418869721.2%
 
814598816.4%
 
010816412.1%
 
5864169.7%
 
10858089.6%
 
3551956.2%
 
15425474.8%
 
11357524.0%
 
9335703.8%
 
6256522.9%
 
12244462.7%
 
1212822.4%
 
4204512.3%
 
274790.8%
 
1357640.6%
 
740100.4%
 
ValueCountFrequency (%) 
010816412.1%
 
1212822.4%
 
274790.8%
 
3551956.2%
 
4204512.3%
 
5864169.7%
 
6256522.9%
 
740100.4%
 
814598816.4%
 
9335703.8%
 
ValueCountFrequency (%) 
15425474.8%
 
1418869721.2%
 
1357640.6%
 
12244462.7%
 
11357524.0%
 
10858089.6%
 
9335703.8%
 
814598816.4%
 
740100.4%
 
6256522.9%
 

REGIOTYP
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing121196
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean4.257966949
Minimum0
Maximum7
Zeros36868
Zeros (%)4.1%
Memory size6.8 MiB
2020-11-30T23:54:40.062813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.030384535
Coefficient of variation (CV)0.4768436579
Kurtosis-0.8986656455
Mean4.257966949
Median Absolute Deviation (MAD)1
Skewness-0.4906113801
Sum3278741
Variance4.122461361
MonotocityNot monotonic
2020-11-30T23:54:40.151298image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
619528621.9%
 
514535916.3%
 
39392910.5%
 
29166210.3%
 
7839439.4%
 
4681807.7%
 
1547986.1%
 
0368684.1%
 
(Missing)12119613.6%
 
ValueCountFrequency (%) 
0368684.1%
 
1547986.1%
 
29166210.3%
 
39392910.5%
 
4681807.7%
 
514535916.3%
 
619528621.9%
 
7839439.4%
 
ValueCountFrequency (%) 
7839439.4%
 
619528621.9%
 
514535916.3%
 
4681807.7%
 
39392910.5%
 
29166210.3%
 
1547986.1%
 
0368684.1%
 

RELAT_AB
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing97216
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean3.072219948
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:40.246400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.362980445
Coefficient of variation (CV)0.4436467662
Kurtosis-1.00801365
Mean3.072219948
Median Absolute Deviation (MAD)1
Skewness-0.01830679369
Sum2439358
Variance1.857715694
MonotocityNot monotonic
2020-11-30T23:54:40.329557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
327400830.7%
 
517496419.6%
 
114290716.0%
 
210484611.8%
 
49712110.9%
 
9159< 0.1%
 
(Missing)9721610.9%
 
ValueCountFrequency (%) 
114290716.0%
 
210484611.8%
 
327400830.7%
 
49712110.9%
 
517496419.6%
 
9159< 0.1%
 
ValueCountFrequency (%) 
9159< 0.1%
 
517496419.6%
 
49712110.9%
 
327400830.7%
 
210484611.8%
 
114290716.0%
 

RETOURTYP_BK_S
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.419629792
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:40.432259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.417740994
Coefficient of variation (CV)0.4145890288
Kurtosis-1.124586498
Mean3.419629792
Median Absolute Deviation (MAD)1
Skewness-0.3668840075
Sum3031047
Variance2.009989527
MonotocityNot monotonic
2020-11-30T23:54:40.537451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
529799333.4%
 
323181626.0%
 
413111514.7%
 
112971214.6%
 
29573110.7%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
112971214.6%
 
29573110.7%
 
323181626.0%
 
413111514.7%
 
529799333.4%
 
ValueCountFrequency (%) 
529799333.4%
 
413111514.7%
 
323181626.0%
 
29573110.7%
 
112971214.6%
 

RT_KEIN_ANREIZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.2337226
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:40.639489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.388687477
Coefficient of variation (CV)0.4294392713
Kurtosis-1.189059246
Mean3.2337226
Median Absolute Deviation (MAD)1
Skewness-0.2444729811
Sum2866265
Variance1.928452909
MonotocityNot monotonic
2020-11-30T23:54:40.741068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
521153423.7%
 
420670723.2%
 
318665520.9%
 
114114015.8%
 
214033115.7%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
114114015.8%
 
214033115.7%
 
318665520.9%
 
420670723.2%
 
521153423.7%
 
ValueCountFrequency (%) 
521153423.7%
 
420670723.2%
 
318665520.9%
 
214033115.7%
 
114114015.8%
 

RT_SCHNAEPPCHEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.863796825
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:40.849934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.282747344
Coefficient of variation (CV)0.3319914071
Kurtosis-0.6207191317
Mean3.863796825
Median Absolute Deviation (MAD)1
Skewness-0.7959123194
Sum3424742
Variance1.64544075
MonotocityNot monotonic
2020-11-30T23:54:40.953267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
540250445.2%
 
418205920.4%
 
313353815.0%
 
211510612.9%
 
1531606.0%
 
(Missing)48540.5%
 
ValueCountFrequency (%) 
1531606.0%
 
211510612.9%
 
313353815.0%
 
418205920.4%
 
540250445.2%
 
ValueCountFrequency (%) 
540250445.2%
 
418205920.4%
 
313353815.0%
 
211510612.9%
 
1531606.0%
 

RT_UEBERGROESSE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51226
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean3.023813237
Minimum0
Maximum5
Zeros24758
Zeros (%)2.8%
Memory size6.8 MiB
2020-11-30T23:54:41.057883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.502725386
Coefficient of variation (CV)0.4969636907
Kurtosis-1.18388437
Mean3.023813237
Median Absolute Deviation (MAD)1
Skewness-0.1665382214
Sum2539988
Variance2.258183587
MonotocityNot monotonic
2020-11-30T23:54:41.157854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
518877421.2%
 
416846718.9%
 
315586517.5%
 
215252417.1%
 
114960716.8%
 
0247582.8%
 
(Missing)512265.7%
 
ValueCountFrequency (%) 
0247582.8%
 
114960716.8%
 
215252417.1%
 
315586517.5%
 
416846718.9%
 
518877421.2%
 
ValueCountFrequency (%) 
518877421.2%
 
416846718.9%
 
315586517.5%
 
215252417.1%
 
114960716.8%
 
0247582.8%
 

SEMIO_DOM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.667550473
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:41.251016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.79571208
Coefficient of variation (CV)0.3847225843
Kurtosis-0.9093931002
Mean4.667550473
Median Absolute Deviation (MAD)1
Skewness-0.4131770759
Sum4159819
Variance3.224581876
MonotocityNot monotonic
2020-11-30T23:54:41.333126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
618343520.6%
 
517788920.0%
 
716149518.1%
 
412511514.0%
 
210149811.4%
 
39702710.9%
 
1447625.0%
 
ValueCountFrequency (%) 
1447625.0%
 
210149811.4%
 
39702710.9%
 
412511514.0%
 
517788920.0%
 
618343520.6%
 
716149518.1%
 
ValueCountFrequency (%) 
716149518.1%
 
618343520.6%
 
517788920.0%
 
412511514.0%
 
39702710.9%
 
210149811.4%
 
1447625.0%
 

SEMIO_ERL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.481404725
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:41.424098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.807551899
Coefficient of variation (CV)0.4033449354
Kurtosis-1.105118991
Mean4.481404725
Median Absolute Deviation (MAD)1
Skewness-0.04328868758
Sum3993922
Variance3.267243868
MonotocityNot monotonic
2020-11-30T23:54:41.515370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
419620622.0%
 
318082420.3%
 
717914120.1%
 
613920915.6%
 
2770128.6%
 
5761338.5%
 
1426964.8%
 
ValueCountFrequency (%) 
1426964.8%
 
2770128.6%
 
318082420.3%
 
419620622.0%
 
5761338.5%
 
613920915.6%
 
717914120.1%
 
ValueCountFrequency (%) 
717914120.1%
 
613920915.6%
 
5761338.5%
 
419620622.0%
 
318082420.3%
 
2770128.6%
 
1426964.8%
 

SEMIO_FAM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.272729211
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:41.614593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.915885028
Coefficient of variation (CV)0.4483984202
Kurtosis-1.19892824
Mean4.272729211
Median Absolute Deviation (MAD)2
Skewness-0.2058485462
Sum3807946
Variance3.67061544
MonotocityNot monotonic
2020-11-30T23:54:41.701816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
618672921.0%
 
213956215.7%
 
413594215.3%
 
513374015.0%
 
711851713.3%
 
39481510.6%
 
1819169.2%
 
ValueCountFrequency (%) 
1819169.2%
 
213956215.7%
 
39481510.6%
 
413594215.3%
 
513374015.0%
 
618672921.0%
 
711851713.3%
 
ValueCountFrequency (%) 
711851713.3%
 
618672921.0%
 
513374015.0%
 
413594215.3%
 
39481510.6%
 
213956215.7%
 
1819169.2%
 

SEMIO_KAEM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.445007467
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:41.795384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.852412242
Coefficient of variation (CV)0.4167399618
Kurtosis-1.236079929
Mean4.445007467
Median Absolute Deviation (MAD)2
Skewness-0.1927373604
Sum3961484
Variance3.431431115
MonotocityNot monotonic
2020-11-30T23:54:41.885480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
620600123.1%
 
318095520.3%
 
713557915.2%
 
512850114.4%
 
211403812.8%
 
4789448.9%
 
1472035.3%
 
ValueCountFrequency (%) 
1472035.3%
 
211403812.8%
 
318095520.3%
 
4789448.9%
 
512850114.4%
 
620600123.1%
 
713557915.2%
 
ValueCountFrequency (%) 
713557915.2%
 
620600123.1%
 
512850114.4%
 
4789448.9%
 
318095520.3%
 
211403812.8%
 
1472035.3%
 

SEMIO_KRIT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.76322259
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:41.985546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.830789358
Coefficient of variation (CV)0.3843593961
Kurtosis-0.8752505716
Mean4.76322259
Median Absolute Deviation (MAD)2
Skewness-0.3882238006
Sum4245084
Variance3.351789675
MonotocityNot monotonic
2020-11-30T23:54:42.068686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
721984724.7%
 
515629817.5%
 
414407916.2%
 
613304914.9%
 
312910614.5%
 
1549476.2%
 
2538956.0%
 
ValueCountFrequency (%) 
1549476.2%
 
2538956.0%
 
312910614.5%
 
414407916.2%
 
515629817.5%
 
613304914.9%
 
721984724.7%
 
ValueCountFrequency (%) 
721984724.7%
 
613304914.9%
 
515629817.5%
 
414407916.2%
 
312910614.5%
 
2538956.0%
 
1549476.2%
 

SEMIO_KULT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.025013998
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:42.153742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.90381623
Coefficient of variation (CV)0.4729961763
Kurtosis-1.05018586
Mean4.025013998
Median Absolute Deviation (MAD)1
Skewness-0.03536077331
Sum3587177
Variance3.624516239
MonotocityNot monotonic
2020-11-30T23:54:42.234158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
320906723.5%
 
517628219.8%
 
112821614.4%
 
711737813.2%
 
410150211.4%
 
610128611.4%
 
2574906.5%
 
ValueCountFrequency (%) 
112821614.4%
 
2574906.5%
 
320906723.5%
 
410150211.4%
 
517628219.8%
 
610128611.4%
 
711737813.2%
 
ValueCountFrequency (%) 
711737813.2%
 
610128611.4%
 
517628219.8%
 
410150211.4%
 
320906723.5%
 
2574906.5%
 
112821614.4%
 

SEMIO_LUST
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.359086018
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:42.320747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.022829383
Coefficient of variation (CV)0.4640489714
Kurtosis-1.207111475
Mean4.359086018
Median Absolute Deviation (MAD)2
Skewness-0.3030834485
Sum3884909
Variance4.091838712
MonotocityNot monotonic
2020-11-30T23:54:42.401704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
517004019.1%
 
615862417.8%
 
715823417.8%
 
211437312.8%
 
111038212.4%
 
49749510.9%
 
3820739.2%
 
ValueCountFrequency (%) 
111038212.4%
 
211437312.8%
 
3820739.2%
 
49749510.9%
 
517004019.1%
 
615862417.8%
 
715823417.8%
 
ValueCountFrequency (%) 
715823417.8%
 
615862417.8%
 
517004019.1%
 
49749510.9%
 
3820739.2%
 
211437312.8%
 
111038212.4%
 

SEMIO_MAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.001596686
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:42.487807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.857540107
Coefficient of variation (CV)0.4641997315
Kurtosis-1.036445759
Mean4.001596686
Median Absolute Deviation (MAD)1
Skewness0.01186754272
Sum3566307
Variance3.45045525
MonotocityNot monotonic
2020-11-30T23:54:42.567391image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
517126719.2%
 
416286218.3%
 
213454915.1%
 
312370113.9%
 
711197612.6%
 
19734110.9%
 
68952510.0%
 
ValueCountFrequency (%) 
19734110.9%
 
213454915.1%
 
312370113.9%
 
416286218.3%
 
517126719.2%
 
68952510.0%
 
711197612.6%
 
ValueCountFrequency (%) 
711197612.6%
 
68952510.0%
 
517126719.2%
 
416286218.3%
 
312370113.9%
 
213454915.1%
 
19734110.9%
 

SEMIO_PFLICHT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.256075654
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:42.653600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.770136694
Coefficient of variation (CV)0.4159081836
Kurtosis-0.8653655223
Mean4.256075654
Median Absolute Deviation (MAD)1
Skewness-0.1694070752
Sum3793104
Variance3.133383917
MonotocityNot monotonic
2020-11-30T23:54:42.731684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
520384522.9%
 
416211718.2%
 
313399015.0%
 
711545813.0%
 
610944212.3%
 
29221410.3%
 
1741558.3%
 
ValueCountFrequency (%) 
1741558.3%
 
29221410.3%
 
313399015.0%
 
416211718.2%
 
520384522.9%
 
610944212.3%
 
711545813.0%
 
ValueCountFrequency (%) 
711545813.0%
 
610944212.3%
 
520384522.9%
 
416211718.2%
 
313399015.0%
 
29221410.3%
 
1741558.3%
 

SEMIO_RAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.910139012
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:42.817874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.580305974
Coefficient of variation (CV)0.404155957
Kurtosis-0.3831343065
Mean3.910139012
Median Absolute Deviation (MAD)1
Skewness0.2879717072
Sum3484798
Variance2.497366972
MonotocityNot monotonic
2020-11-30T23:54:42.901811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
433445637.5%
 
214043315.8%
 
313199414.8%
 
58905610.0%
 
7870249.8%
 
6614846.9%
 
1467745.2%
 
ValueCountFrequency (%) 
1467745.2%
 
214043315.8%
 
313199414.8%
 
433445637.5%
 
58905610.0%
 
6614846.9%
 
7870249.8%
 
ValueCountFrequency (%) 
7870249.8%
 
6614846.9%
 
58905610.0%
 
433445637.5%
 
313199414.8%
 
214043315.8%
 
1467745.2%
 

SEMIO_REL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.240609232
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:42.994335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.007372556
Coefficient of variation (CV)0.4733689067
Kurtosis-1.134701252
Mean4.240609232
Median Absolute Deviation (MAD)2
Skewness0.00215072809
Sum3779320
Variance4.029544578
MonotocityNot monotonic
2020-11-30T23:54:43.080250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
721137723.7%
 
420712823.2%
 
315080116.9%
 
110813012.1%
 
5795668.9%
 
2731278.2%
 
6610926.9%
 
ValueCountFrequency (%) 
110813012.1%
 
2731278.2%
 
315080116.9%
 
420712823.2%
 
5795668.9%
 
6610926.9%
 
721137723.7%
 
ValueCountFrequency (%) 
721137723.7%
 
6610926.9%
 
5795668.9%
 
420712823.2%
 
315080116.9%
 
2731278.2%
 
110813012.1%
 

SEMIO_SOZ
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.945859669
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:43.168184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.946564233
Coefficient of variation (CV)0.4933181603
Kurtosis-1.353534476
Mean3.945859669
Median Absolute Deviation (MAD)2
Skewness0.1789455842
Sum3516633
Variance3.789112312
MonotocityNot monotonic
2020-11-30T23:54:43.243323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
224471427.5%
 
613620515.3%
 
512178613.7%
 
311888913.3%
 
711737813.2%
 
49016110.1%
 
1620887.0%
 
ValueCountFrequency (%) 
1620887.0%
 
224471427.5%
 
311888913.3%
 
49016110.1%
 
512178613.7%
 
613620515.3%
 
711737813.2%
 
ValueCountFrequency (%) 
711737813.2%
 
613620515.3%
 
512178613.7%
 
49016110.1%
 
311888913.3%
 
224471427.5%
 
1620887.0%
 

SEMIO_TRADV
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.661784226
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:43.323858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.707636767
Coefficient of variation (CV)0.4663400849
Kurtosis-0.655924441
Mean3.661784226
Median Absolute Deviation (MAD)1
Skewness0.3343106362
Sum3263459
Variance2.916023328
MonotocityNot monotonic
2020-11-30T23:54:43.397175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
322657125.4%
 
417420319.5%
 
213265714.9%
 
511737813.2%
 
19677510.9%
 
7761338.5%
 
6675047.6%
 
ValueCountFrequency (%) 
19677510.9%
 
213265714.9%
 
322657125.4%
 
417420319.5%
 
511737813.2%
 
6675047.6%
 
7761338.5%
 
ValueCountFrequency (%) 
7761338.5%
 
6675047.6%
 
511737813.2%
 
417420319.5%
 
322657125.4%
 
213265714.9%
 
19677510.9%
 

SEMIO_VERT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.023709046
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:43.476796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.077746254
Coefficient of variation (CV)0.5163758687
Kurtosis-1.411240267
Mean4.023709046
Median Absolute Deviation (MAD)2
Skewness-0.03560142861
Sum3586014
Variance4.317029496
MonotocityNot monotonic
2020-11-30T23:54:43.555271image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
220433322.9%
 
614171415.9%
 
513520515.2%
 
713475615.1%
 
412298213.8%
 
112043713.5%
 
3317943.6%
 
ValueCountFrequency (%) 
112043713.5%
 
220433322.9%
 
3317943.6%
 
412298213.8%
 
513520515.2%
 
614171415.9%
 
713475615.1%
 
ValueCountFrequency (%) 
713475615.1%
 
614171415.9%
 
513520515.2%
 
412298213.8%
 
3317943.6%
 
220433322.9%
 
112043713.5%
 

SHOPPER_TYP
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.266967453
Minimum-1
Maximum3
Zeros127582
Zeros (%)14.3%
Memory size6.8 MiB
2020-11-30T23:54:43.643323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q10
median1
Q32
95-th percentile3
Maximum3
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.287434562
Coefficient of variation (CV)1.016154409
Kurtosis-0.9404777641
Mean1.266967453
Median Absolute Deviation (MAD)1
Skewness-0.2565887319
Sum1129148
Variance1.657487753
MonotocityNot monotonic
2020-11-30T23:54:43.723645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
125476128.6%
 
220746323.3%
 
319021921.3%
 
012758214.3%
 
-111119612.5%
 
ValueCountFrequency (%) 
-111119612.5%
 
012758214.3%
 
125476128.6%
 
220746323.3%
 
319021921.3%
 
ValueCountFrequency (%) 
319021921.3%
 
220746323.3%
 
125476128.6%
 
012758214.3%
 
-111119612.5%
 

SOHO_KZ
Boolean

MISSING

Distinct2
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Memory size6.8 MiB
0
810834 
1
 
6888
(Missing)
 
73499
ValueCountFrequency (%) 
081083491.0%
 
168880.8%
 
(Missing)734998.2%
 

STRUKTURTYP
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing97274
Missing (%)10.9%
Memory size6.8 MiB
3
555713 
1
127607 
2
110627 
ValueCountFrequency (%) 
355571362.4%
 
112760714.3%
 
211062712.4%
 
(Missing)9727410.9%
 
2020-11-30T23:54:43.824842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters7
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.79394729.7%
 
079394729.7%
 
355571320.8%
 
n1945487.3%
 
11276074.8%
 
21106274.1%
 
a972743.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number158789459.4%
 
Other Punctuation79394729.7%
 
Lowercase Letter29182210.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n19454866.7%
 
a9727433.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
079394750.0%
 
355571335.0%
 
11276078.0%
 
21106277.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.793947100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common238184189.1%
 
Latin29182210.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n19454866.7%
 
a9727433.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
.79394733.3%
 
079394733.3%
 
355571323.3%
 
11276075.4%
 
21106274.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.79394729.7%
 
079394729.7%
 
355571320.8%
 
n1945487.3%
 
11276074.8%
 
21106274.1%
 
a972743.6%
 

TITEL_KZ
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.003482846248
Minimum0
Maximum5
Zeros815562
Zeros (%)91.5%
Memory size6.8 MiB
2020-11-30T23:54:43.907162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08495716307
Coefficient of variation (CV)24.39302714
Kurtosis1998.880458
Mean0.003482846248
Median Absolute Deviation (MAD)0
Skewness39.64777145
Sum2848
Variance0.007217719557
MonotocityNot monotonic
2020-11-30T23:54:43.993660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
081556291.5%
 
119470.2%
 
5104< 0.1%
 
457< 0.1%
 
349< 0.1%
 
23< 0.1%
 
(Missing)734998.2%
 
ValueCountFrequency (%) 
081556291.5%
 
119470.2%
 
23< 0.1%
 
349< 0.1%
 
457< 0.1%
 
5104< 0.1%
 
ValueCountFrequency (%) 
5104< 0.1%
 
457< 0.1%
 
349< 0.1%
 
23< 0.1%
 
119470.2%
 
081556291.5%
 

UMFELD_ALT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing97786
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean3.223124768
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:44.080728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.255784944
Coefficient of variation (CV)0.3896172302
Kurtosis-0.8971821
Mean3.223124768
Median Absolute Deviation (MAD)1
Skewness-0.2924290274
Sum2557340
Variance1.576995827
MonotocityNot monotonic
2020-11-30T23:54:44.161620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
422822225.6%
 
320873323.4%
 
513516015.2%
 
212113313.6%
 
110018711.2%
 
(Missing)9778611.0%
 
ValueCountFrequency (%) 
110018711.2%
 
212113313.6%
 
320873323.4%
 
422822225.6%
 
513516015.2%
 
ValueCountFrequency (%) 
513516015.2%
 
422822225.6%
 
320873323.4%
 
212113313.6%
 
110018711.2%
 

UMFELD_JUNG
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing97786
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean4.017526325
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:44.250224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.118399045
Coefficient of variation (CV)0.2783800166
Kurtosis0.300030341
Mean4.017526325
Median Absolute Deviation (MAD)1
Skewness-1.03921135
Sum3187646
Variance1.250816424
MonotocityNot monotonic
2020-11-30T23:54:44.334237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
535053239.3%
 
422593925.4%
 
313040314.6%
 
2534606.0%
 
1331013.7%
 
(Missing)9778611.0%
 
ValueCountFrequency (%) 
1331013.7%
 
2534606.0%
 
313040314.6%
 
422593925.4%
 
535053239.3%
 
ValueCountFrequency (%) 
535053239.3%
 
422593925.4%
 
313040314.6%
 
2534606.0%
 
1331013.7%
 

UNGLEICHENN_FLAG
Boolean

MISSING

Distinct2
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Memory size6.8 MiB
0
744072 
1
 
73650
(Missing)
 
73499
ValueCountFrequency (%) 
074407283.5%
 
1736508.3%
 
(Missing)734998.2%
 

VERDICHTUNGSRAUM
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)< 0.1%
Missing97274
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean4.585759503
Minimum0
Maximum45
Zeros368782
Zeros (%)41.4%
Memory size6.8 MiB
2020-11-30T23:54:44.448114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile25
Maximum45
Range45
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.471520441
Coefficient of variation (CV)1.847353843
Kurtosis6.350593906
Mean4.585759503
Median Absolute Deviation (MAD)1
Skewness2.532641726
Sum3640850
Variance71.76665858
MonotocityNot monotonic
2020-11-30T23:54:44.566558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%) 
036878241.4%
 
111123512.5%
 
2476135.3%
 
3298273.3%
 
4269963.0%
 
5240192.7%
 
6218822.5%
 
7132381.5%
 
8118641.3%
 
10110341.2%
 
994251.1%
 
1387071.0%
 
1182260.9%
 
1481800.9%
 
1280460.9%
 
1569420.8%
 
1664350.7%
 
1755020.6%
 
1850610.6%
 
2035380.4%
 
2234920.4%
 
2133640.4%
 
1933000.4%
 
2332390.4%
 
2429800.3%
 
Other values (21)410204.6%
 
(Missing)9727410.9%
 
ValueCountFrequency (%) 
036878241.4%
 
111123512.5%
 
2476135.3%
 
3298273.3%
 
4269963.0%
 
5240192.7%
 
6218822.5%
 
7132381.5%
 
8118641.3%
 
994251.1%
 
ValueCountFrequency (%) 
4511650.1%
 
4414350.2%
 
4313210.1%
 
4213240.1%
 
4113290.1%
 
4013590.2%
 
3916600.2%
 
3816220.2%
 
3713480.2%
 
3619590.2%
 

VERS_TYP
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
398722 
1
381303 
-1
111196 
ValueCountFrequency (%) 
239872244.7%
 
138130342.8%
 
-111119612.5%
 
2020-11-30T23:54:44.682384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters3
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
149249949.1%
 
239872239.8%
 
-11119611.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number89122188.9%
 
Dash Punctuation11119611.1%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-111196100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
149249955.3%
 
239872244.7%
 

Most occurring scripts

ValueCountFrequency (%) 
Common1002417100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
149249949.1%
 
239872239.8%
 
-11119611.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII1002417100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
149249949.1%
 
239872239.8%
 
-11119611.1%
 

VHA
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.4388202837
Minimum0
Maximum5
Zeros665547
Zeros (%)74.7%
Memory size6.8 MiB
2020-11-30T23:54:44.767373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.143290454
Coefficient of variation (CV)2.605372853
Kurtosis7.390683117
Mean0.4388202837
Median Absolute Deviation (MAD)0
Skewness2.889777008
Sum358833
Variance1.307113063
MonotocityNot monotonic
2020-11-30T23:54:44.851528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
066554774.7%
 
1810169.1%
 
4244692.7%
 
5223722.5%
 
3194452.2%
 
248730.5%
 
(Missing)734998.2%
 
ValueCountFrequency (%) 
066554774.7%
 
1810169.1%
 
248730.5%
 
3194452.2%
 
4244692.7%
 
5223722.5%
 
ValueCountFrequency (%) 
5223722.5%
 
4244692.7%
 
3194452.2%
 
248730.5%
 
1810169.1%
 
066554774.7%
 

VHN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing121196
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean2.417321516
Minimum0
Maximum4
Zeros36868
Zeros (%)4.1%
Memory size6.8 MiB
2020-11-30T23:54:44.936104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.166572237
Coefficient of variation (CV)0.4825887784
Kurtosis-0.9129215946
Mean2.417321516
Median Absolute Deviation (MAD)1
Skewness-0.1613978673
Sum1861398
Variance1.360890785
MonotocityNot monotonic
2020-11-30T23:54:45.014531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
223384426.2%
 
317957920.1%
 
417841320.0%
 
114132115.9%
 
0368684.1%
 
(Missing)12119613.6%
 
ValueCountFrequency (%) 
0368684.1%
 
114132115.9%
 
223384426.2%
 
317957920.1%
 
417841320.0%
 
ValueCountFrequency (%) 
417841320.0%
 
317957920.1%
 
223384426.2%
 
114132115.9%
 
0368684.1%
 

VK_DHT4A
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)< 0.1%
Missing75917
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean6.001214271
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:45.102939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.856091359
Coefficient of variation (CV)0.4759189108
Kurtosis-1.205256256
Mean6.001214271
Median Absolute Deviation (MAD)3
Skewness-0.158692708
Sum4892814
Variance8.157257851
MonotocityNot monotonic
2020-11-30T23:54:45.185515image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
1011450012.8%
 
79669310.8%
 
9882389.9%
 
8860909.7%
 
3825709.3%
 
6800789.0%
 
2742008.3%
 
5706717.9%
 
4701987.9%
 
1495355.6%
 
1125310.3%
 
(Missing)759178.5%
 
ValueCountFrequency (%) 
1495355.6%
 
2742008.3%
 
3825709.3%
 
4701987.9%
 
5706717.9%
 
6800789.0%
 
79669310.8%
 
8860909.7%
 
9882389.9%
 
1011450012.8%
 
ValueCountFrequency (%) 
1125310.3%
 
1011450012.8%
 
9882389.9%
 
8860909.7%
 
79669310.8%
 
6800789.0%
 
5706717.9%
 
4701987.9%
 
3825709.3%
 
2742008.3%
 

VK_DISTANZ
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)< 0.1%
Missing75917
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean7.532130346
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:45.265810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q310
95-th percentile12
Maximum13
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.247788909
Coefficient of variation (CV)0.4311912778
Kurtosis-0.7823473088
Mean7.532130346
Median Absolute Deviation (MAD)2
Skewness-0.3536317455
Sum6140976
Variance10.5481328
MonotocityNot monotonic
2020-11-30T23:54:45.351975image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
109432010.6%
 
89210410.3%
 
98906710.0%
 
7842229.5%
 
6832919.3%
 
11799909.0%
 
3714108.0%
 
12599946.7%
 
1448585.0%
 
5387914.4%
 
4297863.3%
 
13275543.1%
 
2199172.2%
 
(Missing)759178.5%
 
ValueCountFrequency (%) 
1448585.0%
 
2199172.2%
 
3714108.0%
 
4297863.3%
 
5387914.4%
 
6832919.3%
 
7842229.5%
 
89210410.3%
 
98906710.0%
 
109432010.6%
 
ValueCountFrequency (%) 
13275543.1%
 
12599946.7%
 
11799909.0%
 
109432010.6%
 
98906710.0%
 
89210410.3%
 
7842229.5%
 
6832919.3%
 
5387914.4%
 
4297863.3%
 

VK_ZG11
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)< 0.1%
Missing75917
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean5.9459723
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:45.436096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q38
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.771463653
Coefficient of variation (CV)0.4661077304
Kurtosis-1.071798028
Mean5.9459723
Median Absolute Deviation (MAD)2
Skewness-0.09933345399
Sum4847775
Variance7.681010782
MonotocityNot monotonic
2020-11-30T23:54:45.517131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
109793811.0%
 
59777711.0%
 
6885819.9%
 
7885529.9%
 
4866009.7%
 
8839949.4%
 
9821349.2%
 
3696347.8%
 
2599166.7%
 
1520095.8%
 
1181690.9%
 
(Missing)759178.5%
 
ValueCountFrequency (%) 
1520095.8%
 
2599166.7%
 
3696347.8%
 
4866009.7%
 
59777711.0%
 
6885819.9%
 
7885529.9%
 
8839949.4%
 
9821349.2%
 
109793811.0%
 
ValueCountFrequency (%) 
1181690.9%
 
109793811.0%
 
9821349.2%
 
8839949.4%
 
7885529.9%
 
6885819.9%
 
59777711.0%
 
4866009.7%
 
3696347.8%
 
2599166.7%
 

W_KEIT_KIND_HH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing107602
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean3.933406413
Minimum0
Maximum6
Zeros40386
Zeros (%)4.5%
Memory size6.8 MiB
2020-11-30T23:54:45.596699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.964701066
Coefficient of variation (CV)0.4994909908
Kurtosis-1.086501848
Mean3.933406413
Median Absolute Deviation (MAD)2
Skewness-0.4529771657
Sum3082292
Variance3.86005028
MonotocityNot monotonic
2020-11-30T23:54:45.672068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
628196631.6%
 
412867514.4%
 
310017011.2%
 
2840009.4%
 
1837069.4%
 
5647167.3%
 
0403864.5%
 
(Missing)10760212.1%
 
ValueCountFrequency (%) 
0403864.5%
 
1837069.4%
 
2840009.4%
 
310017011.2%
 
412867514.4%
 
5647167.3%
 
628196631.6%
 
ValueCountFrequency (%) 
628196631.6%
 
5647167.3%
 
412867514.4%
 
310017011.2%
 
2840009.4%
 
1837069.4%
 
0403864.5%
 

WOHNDAUER_2008
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean7.908790518
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:45.757637image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.92313705
Coefficient of variation (CV)0.2431644947
Kurtosis1.194461486
Mean7.908790518
Median Absolute Deviation (MAD)0
Skewness-1.620093885
Sum6467192
Variance3.698456114
MonotocityNot monotonic
2020-11-30T23:54:45.838860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
955117661.8%
 
8801189.0%
 
4507365.7%
 
3387674.3%
 
6351703.9%
 
5309593.5%
 
7239392.7%
 
261740.7%
 
16830.1%
 
(Missing)734998.2%
 
ValueCountFrequency (%) 
16830.1%
 
261740.7%
 
3387674.3%
 
4507365.7%
 
5309593.5%
 
6351703.9%
 
7239392.7%
 
8801189.0%
 
955117661.8%
 
ValueCountFrequency (%) 
955117661.8%
 
8801189.0%
 
7239392.7%
 
6351703.9%
 
5309593.5%
 
4507365.7%
 
3387674.3%
 
261740.7%
 
16830.1%
 

WOHNLAGE
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean4.052836019
Minimum0
Maximum8
Zeros6950
Zeros (%)0.8%
Memory size6.8 MiB
2020-11-30T23:54:45.931186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q35
95-th percentile7
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.949538668
Coefficient of variation (CV)0.4810307299
Kurtosis-0.8440882651
Mean4.052836019
Median Absolute Deviation (MAD)1
Skewness0.4396769473
Sum3234459
Variance3.800701019
MonotocityNot monotonic
2020-11-30T23:54:46.015234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
324971928.0%
 
716931819.0%
 
413597315.3%
 
210037611.3%
 
5743468.3%
 
1439184.9%
 
8174732.0%
 
069500.8%
 
(Missing)9314810.5%
 
ValueCountFrequency (%) 
069500.8%
 
1439184.9%
 
210037611.3%
 
324971928.0%
 
413597315.3%
 
5743468.3%
 
716931819.0%
 
8174732.0%
 
ValueCountFrequency (%) 
8174732.0%
 
716931819.0%
 
5743468.3%
 
413597315.3%
 
324971928.0%
 
210037611.3%
 
1439184.9%
 
069500.8%
 

ZABEOTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3624376
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:46.100618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.352704299
Coefficient of variation (CV)0.4022987071
Kurtosis-0.2449129835
Mean3.3624376
Median Absolute Deviation (MAD)1
Skewness0.02846326419
Sum2996675
Variance1.82980892
MonotocityNot monotonic
2020-11-30T23:54:46.185871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
336490540.9%
 
421009523.6%
 
112362213.9%
 
5849569.5%
 
6744738.4%
 
2331703.7%
 
ValueCountFrequency (%) 
112362213.9%
 
2331703.7%
 
336490540.9%
 
421009523.6%
 
5849569.5%
 
6744738.4%
 
ValueCountFrequency (%) 
6744738.4%
 
5849569.5%
 
421009523.6%
 
336490540.9%
 
2331703.7%
 
112362213.9%
 

ANREDE_KZ
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
465305 
1
425916 
ValueCountFrequency (%) 
246530552.2%
 
142591647.8%
 
2020-11-30T23:54:46.285318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters2
Unique unicode categories1 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
246530552.2%
 
142591647.8%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number891221100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
246530552.2%
 
142591647.8%
 

Most occurring scripts

ValueCountFrequency (%) 
Common891221100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
246530552.2%
 
142591647.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII891221100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
246530552.2%
 
142591647.8%
 

ALTERSKATEGORIE_GROB
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.777397525
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-11-30T23:54:46.372073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.068774768
Coefficient of variation (CV)0.3848115937
Kurtosis2.430415046
Mean2.777397525
Median Absolute Deviation (MAD)1
Skewness0.2196377488
Sum2475275
Variance1.142279505
MonotocityNot monotonic
2020-11-30T23:54:46.451783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
335853340.2%
 
422851025.6%
 
215841017.8%
 
114288716.0%
 
928810.3%
 
ValueCountFrequency (%) 
114288716.0%
 
215841017.8%
 
335853340.2%
 
422851025.6%
 
928810.3%
 
ValueCountFrequency (%) 
928810.3%
 
422851025.6%
 
335853340.2%
 
215841017.8%
 
114288716.0%